A method and system for monitoring stress in a reheat steam pipe

Abstract

The application discloses a reheat steam pipeline stress monitoring method and system, and the method comprises the following steps: acquiring stress data messages of multiple positions through stress sensors installed on a reheat steam pipeline; setting a pipeline stress propagation model, and simulating the propagation of stress in the pipeline according to the stress data messages of the multiple positions; setting a stress propagation model of a pipeline stress concentration position, and calculating a stress propagation index of the pipeline stress concentration position according to stress data messages of the pipeline stress concentration position; acquiring the temperature in the pipeline, setting a stress heat transfer model, combining the stress data messages of the multiple positions, and simulating the influence of heat conduction on the stress distribution of the pipeline under a high-temperature environment; and uploading the propagation of stress in the pipeline, the stress propagation index of the pipeline stress concentration position and the influence of heat conduction on the stress distribution of the pipeline under the high-temperature environment to a cloud platform to complete stress monitoring.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of stress propagation monitoring, and more particularly relates to a reheat steam pipeline stress monitoring method and system. BACKGROUND

[0002] The reheat steam pipeline of a power station boiler is one of the main pressure-bearing components in the boiler system, and is in a high-temperature and high-pressure environment for a long time, so the safety risk is extremely high. At present, the monitoring of the reheat steam pipeline in China mainly focuses on the parameters and operation of the medium in the pipeline, and the steam temperature, pressure, flow and the like are monitored in real time. There is no monitoring means for the monitoring of the pipeline equipment body and the essential safety of the pipeline equipment. It mainly relies on professional personnel to detect the pipeline under the condition of stopping the boiler to find out whether there is a problem, which causes the material state feedback to be not timely and not comprehensive. The safety monitoring of the pipeline under the running condition cannot be realized. In the long-term high-temperature and high-pressure running environment, the stress concentration parts such as the weld of the reheat pipeline are prone to crack defects, the wall thickness of the elbow part is thinned under the high-pressure steam scouring, and the whole pipeline will produce creep damage. The microstructure will cause the material to deteriorate as the running time is prolonged. Almost all the damages directly affect the state of the pipeline strain / stress. The distributed optical fiber sensing technology has the advantages of being passive, resistant to high-temperature environment and electromagnetic interference, and has great advantages for the stress monitoring of the reheat steam pipeline. Therefore, it is very meaningful to develop a distributed reheat steam pipeline stress monitoring system for a power station boiler. SUMMARY

[0003] To solve the above technical problems, the application provides a reheat steam pipeline stress monitoring method, which comprises the following steps:

[0004] A stress sensor installed on the reheat steam pipeline is used to obtain stress data messages of multiple positions;

[0005] A pipeline stress propagation model is set, and the propagation of stress in the pipeline is simulated according to the stress data messages of the multiple positions;

[0006] A stress propagation model of the stress concentration part of the pipeline is set, and the stress propagation index of the stress concentration part of the pipeline is calculated according to the stress data messages of the stress concentration part of the pipeline;

[0007] The temperature in the pipeline is obtained, a stress heat transfer model is set, and the influence of heat conduction on the stress distribution of the pipeline under a high-temperature environment is simulated in combination with the stress data messages of the multiple positions;

[0008] The propagation of stress in the pipeline, the stress propagation index of the stress concentration part of the pipeline and the influence of heat conduction on the stress distribution of the pipeline under a high-temperature environment are uploaded to a cloud platform to complete the stress monitoring.

[0009] Furthermore, stress data messages from multiple locations are parsed and encapsulated using a circular queue.

[0010] Furthermore, the pipeline stress propagation model includes:

[0011] ,

[0012] in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe Stress propagation velocity at the point, This is a stress concentration effect index used to describe stress concentration at cracks, welds, or other defects in pipelines. For time Location of the pipe The gradient of the stress-displacement field at a given location.

[0013] Furthermore, the stress concentration effect index include:

[0014] ,

[0015] in, It is the first adjustment factor for the stress concentration effect index. It is the second adjustment factor for the stress concentration effect index. It is the fourth adjustment factor for the stress concentration effect index. It is the third adjustment factor for the stress concentration effect index. It is the fifth adjustment factor for the stress concentration effect index.

[0016] Furthermore, to capture stress propagation at cracks, welds, or other defects in pipes, stress propagation models at pipe concentration points include:

[0017] ,

[0018] in, This represents the stress propagation index at the pipe concentration point. For time Location of the pipe Stress at the point, As the first adjustment factor for the stress propagation index, It is the second adjustment factor for the stress propagation index. For time Location of the pipe a stress gradient at the location of the pipe.

[0019] Further, a stress heat transfer model is used to describe the influence of heat conduction on the stress distribution of the pipe in a high temperature environment, including:

[0020]

[0021] wherein, is the temperature field at the location of the pipe at time is the stress at the location of the pipe at time is a first adjustment factor of the stress distribution, is a second adjustment factor of the stress distribution, is a third adjustment factor of the stress distribution, is a fourth adjustment factor of the stress distribution, is the stress at the location of the pipe at time

[0022] The application also provides a reheat steam pipe stress monitoring system, including:

[0023] The data packet acquisition module is configured to acquire stress data packets of multiple positions through stress sensors installed on the reheat steam pipe.

[0024] The pipe stress propagation model simulation module is configured to set a pipe stress propagation model and simulate the propagation of stress in the pipe according to the stress data packets of the multiple positions.

[0025] The pipe stress concentration site stress propagation model simulation module is configured to set a pipe stress concentration site stress propagation model and calculate a stress propagation index of the pipe stress concentration site according to the stress data packets of the pipe stress concentration site.

[0026] The stress distribution influence model simulation module is configured to acquire the temperature in the pipe, set a stress heat transfer model, and simulate the influence of heat conduction on the stress distribution of the pipe in a high temperature environment in combination with the stress data packets of the multiple positions.

[0027] The monitoring module is configured to upload the propagation of stress in the pipe, the stress propagation index of the pipe concentration site, and the influence of heat conduction on the stress distribution of the pipe in a high temperature environment to a cloud platform to complete stress monitoring.

[0028] Further, the stress data packets of the multiple positions are analyzed and packaged through a ring queue.

[0029] Further, the pipe stress propagation model includes:

[0030] ,​​​​

[0031] wherein, is the time at which the stress displacement field at the location of the pipe is determined, is the location of the pipe at which the stress displacement is determined, is the time at which the stress propagation velocity at the location of the pipe is determined, is the location of the pipe at which the stress concentration effect index is determined, is the time at which the gradient of the stress displacement field at the location of the pipe is determined, is the location of the pipe

[0032] Further, the stress concentration effect index comprises:

[0033] ,

[0034] wherein, is a first adjustment factor for the stress concentration effect index, is a second adjustment factor for the stress concentration effect index, is a fourth adjustment factor for the stress concentration effect index, is a third adjustment factor for the stress concentration effect index, is a fifth adjustment factor for the stress concentration effect index.

[0035] Overall, the above technical solutions conceived by the present application have the following beneficial effects compared with the prior art:

[0036] The present application realizes strain / stress monitoring of the reheat steam pipe, makes up for the defects of the existing monitoring, and through the evaluation method, the manager can be reminded of the safety state of the reheat steam pipe, unnecessary shutdown inspection is reduced, and shutdown cost is reduced. The safety state trend of the main reheat steam pipe is predicted, and a scientific basis for scientific decision-making of the manager is provided. BRIEF DESCRIPTION OF DRAWINGS

[0037] Figure 1 is a flow chart of the method of embodiment 1 of the present application;

[0038] Figure 2 is a structure diagram of the system of embodiment 2 of the present application;

[0039] Figure 3 is a distributed stress optical fiber field layout diagram of embodiment 1 of the present application. DETAILED DESCRIPTION

[0040] For better understanding of the above technical solutions, the above technical solutions will be described in detail below in combination with the drawings of the specification and specific embodiments.

[0041] The method provided by the application can be implemented in a terminal environment, which can include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the embodiments below.

[0042] The processor can include one or more processing cores. The processor connects various parts in the entire terminal through various interfaces and lines, and performs various functions and processes data of the terminal by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0043] The storage medium can include random access memory (RAM) and read-only memory (ROM). The storage medium can be used to store instructions, programs, codes, code sets or instructions.

[0044] The display screen is used to display the user interface of each application program.

[0045] In addition, those skilled in the art can understand that the structure of the terminal described above does not constitute a limitation on the terminal, and the terminal can include more or fewer components, or combine certain components, or different component arrangements. For example, the terminal also includes radio frequency circuit, input unit, sensor, audio circuit, power supply and other components, which are not described here.

[0046] Embodiment 1

[0047] As shown in Figure 1 The application embodiment provides a reheated steam pipeline stress monitoring method, which comprises the following steps:

[0048] In step 101, the stress data messages of multiple positions are obtained by the stress sensor installed on the reheated steam pipeline.

[0049] The reheated steam pipeline stress monitoring system has three layers:

[0050] The bottom layer is the perception layer: the perception object of the perception layer is the boiler reheated steam pipeline, and the internal medium is high-temperature and high-pressure water vapor. Strain / stress optical fibers are arranged at the elbow of the reheated pipeline, the elbow weld and the straight pipe section to form measuring points, which convert the strain physical state parameters of the pipeline into optical signals, and convert the perceived optical signals into formatted magnitudes corresponding to the strain physical quantities through signal demodulation to become signal frames that can be transmitted.

[0051] The second layer is the demodulation layer: it acquires and processes the sensing signals from the lower layer. The main function of this layer is to coordinate data acquisition and data transmission, using a circular queue to coordinate the communication processor of this layer to complete the parsing of data packets from the upper layer and the encapsulation of data packets from this layer.

[0052] The third and top layer of the system utilizes a cloud platform. The benefits of managing the system based on a cloud platform primarily include reduced physical cabling between equipment and the deployment system, greatly simplifying on-site construction and maintenance. Equipment mean time between failures (MTBF) is improved. Remote application system management, configuration, diagnostics, backup, updates, and data sharing are also more convenient in the cloud.

[0053] like Figure 3 As shown, optical fibers are wound at the bends and bend welds, and also wound on the straight pipe sections.

[0054] Specifically, stress data messages from multiple locations are parsed and encapsulated using a circular queue.

[0055] Step 102: Set up a pipeline stress propagation model and simulate the propagation of stress in the pipeline based on stress data messages from the multiple locations.

[0056] Specifically, the pipeline stress propagation model includes:

[0057] ,

[0058] in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe Stress propagation velocity at the point, This is a stress concentration effect index used to describe stress concentration at cracks, welds, or other defects in pipelines. For time Location of the pipe The gradient of the stress-displacement field at a given location.

[0059] Specifically, stress concentration effect index include:

[0060] ,

[0061] in, It is the first adjustment factor for the stress concentration effect index. It is the second adjustment factor for the stress concentration effect index. It is the fourth adjustment factor for the stress concentration effect index. It is the third adjustment factor for the stress concentration effect index. It is the fifth adjustment factor for the stress concentration effect index.

[0062] Step 103: Set up the stress propagation model at the stress concentration point of the pipeline, and calculate the stress propagation index at the stress concentration point of the pipeline based on the stress data message at the stress concentration point of the pipeline.

[0063] Specifically, stress propagation models used to capture stress propagation at pipe cracks, welds, or other defects, and at pipe concentration points, include:

[0064] ,

[0065] in, This represents the stress propagation index at the pipe concentration point. For time Location of the pipe Stress at the point, As the first adjustment factor for the stress propagation index, It is the second adjustment factor for the stress propagation index. For time Location of the pipe The stress gradient at that location.

[0066] Step 104: Obtain the temperature inside the pipe and set up a stress heat transfer model. Combine the stress data messages from the multiple locations to simulate the impact of heat conduction on the stress distribution of the pipe under high temperature conditions.

[0067] Specifically, the stress-heat transfer model, used to describe the impact of heat conduction on the stress distribution of pipelines under high-temperature environments, includes:

[0068] ,

[0069] in, For time Location of the pipe Temperature field at that location, The first adjustment factor for stress distribution. The second adjustment factor for stress distribution. This is the third adjustment factor for stress distribution. This is the fourth adjustment factor for stress distribution. For time Location of the pipe Stress at the location.

[0070] Step 105, uploading the stress propagation in the pipeline, the stress propagation index at the stress concentration of the pipeline and the influence of heat conduction on the stress distribution of the pipeline in the high temperature environment to the cloud platform to complete the stress monitoring.

[0071] Embodiment 2

[0072] As Figure 2 shown, the embodiment of the application further provides a reheat steam pipeline stress monitoring system, comprising:

[0073] The data message acquisition module is configured to acquire stress data messages of multiple positions through stress sensors installed on the reheat steam pipeline.

[0074] Specifically, the stress data messages of multiple positions are parsed and packaged through the ring queue.

[0075] The pipeline stress propagation model is configured to set a pipeline stress propagation model and simulate the stress propagation in the pipeline according to the stress data messages of multiple positions.

[0076] Specifically, the pipeline stress propagation model comprises:

[0077] ,

[0078] wherein, is the stress displacement field of the pipeline at position at time , represents the amount of change of the stress displacement of the pipeline at position over time, is the stress propagation velocity of the pipeline at position at time , is the stress concentration effect index, configured to describe the stress concentration at the cracks, welds or other defects of the pipeline, is the gradient of the stress displacement field of the pipeline at position at time .

[0079] Specifically, the stress concentration effect index comprises:

[0080] ,

[0081] wherein, is the first adjustment factor of the stress concentration effect index, is the second adjustment factor of the stress concentration effect index, is the fourth adjustment factor of the stress concentration effect index, is the third adjustment factor of the stress concentration effect index, A fifth adjustment factor for the stress concentration effect index.

[0082] The stress concentration model of the pipeline is simulated, the stress concentration model of the pipeline stress concentration is set, and the stress concentration index of the pipeline stress concentration is calculated according to the stress data message of the pipeline stress concentration.

[0083] Specifically, the stress concentration model of the pipeline is used to capture the stress propagation at the crack, weld or other defects of the pipeline, and the stress concentration model of the pipeline includes:

[0084]

[0085] Among them, The stress concentration index of the pipeline, is the stress at the position of the pipeline at time , is the stress gradient at the position of the pipeline at time , is the first adjustment factor of the stress concentration index, is the second adjustment factor of the stress concentration index, is the stress gradient at the position of the pipeline at time .

[0086] The stress distribution influence model is simulated, the temperature in the pipeline is obtained, and the stress heat transfer model is set, and the influence of heat conduction on the stress distribution of the pipeline in high temperature environment is simulated in combination with the stress data message of the plurality of positions.

[0087] Specifically, the stress heat transfer model is used to describe the influence of heat conduction on the stress distribution of the pipeline in high temperature environment, and includes:

[0088]

[0089] Among them, The temperature field at the position of the pipeline at time , is the first adjustment factor of the stress distribution, is the second adjustment factor of the stress distribution, is the third adjustment factor of the stress distribution, is the fourth adjustment factor of the stress distribution, is the stress at the position of the pipeline at time .

[0090] The monitoring module is used to upload the stress propagation in the pipeline, the stress concentration index of the pipeline and the influence of heat conduction on the stress distribution of the pipeline in high temperature environment to the cloud platform to complete stress monitoring. ​​​​

[0091] Example 3

[0092] This invention also proposes a storage medium storing multiple instructions for implementing the aforementioned reheat steam pipeline stress monitoring method.

[0093] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0094] Optionally, in this embodiment, the storage medium is configured to store program code for performing the following steps: Step 101, acquiring stress data messages at multiple locations using stress sensors installed on the reheat steam pipeline;

[0095] Specifically, stress data messages from multiple locations are parsed and encapsulated using a circular queue.

[0096] Step 102: Set up a pipeline stress propagation model and simulate the propagation of stress in the pipeline based on stress data messages from the multiple locations.

[0097] Specifically, the pipeline stress propagation model includes:

[0098] ,

[0099] in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe Stress propagation velocity at the point, This is a stress concentration effect index used to describe stress concentration at cracks, welds, or other defects in pipelines. For time Location of the pipe The gradient of the stress-displacement field at a given location.

[0100] Specifically, stress concentration effect index include:

[0101] ,

[0102] in, It is the first adjustment factor for the stress concentration effect index. It is the second adjustment factor for the stress concentration effect index. It is the fourth adjustment factor for the stress concentration effect index. a third adjustment factor for the stress concentration effect index, a fifth adjustment factor for the stress concentration effect index.

[0103] Step 103, setting a stress propagation model at the pipe concentration, and calculating a stress propagation index at the pipe concentration according to the stress data message at the pipe concentration;

[0104] Specifically, for capturing the stress propagation at the crack, weld or other defects of the pipe, the stress propagation model at the pipe concentration includes:

[0105] ,

[0106] wherein, a stress propagation index at the pipe concentration, a stress at a position of the pipe at time t, a stress gradient at the position of the pipe at time t. a second adjustment factor for the stress propagation index, a stress gradient at the position of the pipe at time t.

[0107] Step 104, obtaining the temperature in the pipe, and setting a stress heat transfer model, combining the stress data messages of the plurality of positions, to simulate the influence of heat conduction on the stress distribution of the pipe under high temperature environment;

[0108] Specifically, the stress heat transfer model for describing the influence of heat conduction on the stress distribution of the pipe under high temperature environment includes:

[0109] ,

[0110] wherein, a temperature field at a position of the pipe at time t, a first adjustment factor for the stress distribution, a second adjustment factor for the stress distribution, a third adjustment factor for the stress distribution, a fourth adjustment factor for the stress distribution, a stress at a position of the pipe at time t.

[0111] Step 105, uploading the stress propagation in the pipe, the stress propagation index at the pipe concentration and the influence of heat conduction on the stress distribution of the pipe under high temperature environment to the cloud platform to complete the stress monitoring.​​​​​​​​

[0112] Example 4

[0113] This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to perform the aforementioned reheat steam pipeline stress monitoring method.

[0114] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0115] The storage medium can be used to store software programs and modules, such as the reheat steam pipeline stress monitoring method in this embodiment of the invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned reheat steam pipeline stress monitoring method. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0116] The processor can call the information and application stored in the storage medium through the transmission system to perform the following steps: Step 101, acquire stress data messages at multiple locations through stress sensors installed on the reheat steam pipeline;

[0117] Specifically, stress data messages from multiple locations are parsed and encapsulated using a circular queue.

[0118] Step 102: Set up a pipeline stress propagation model and simulate the propagation of stress in the pipeline based on stress data messages from the multiple locations.

[0119] Specifically, the pipeline stress propagation model includes:

[0120] ,

[0121] in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe stress propagation velocity at the location of the pipe, is a stress concentration effect index, used to describe the stress concentration at the crack, weld or other defects of the pipe, is time is the stress displacement field at the location of the pipe at time is the gradient of the stress displacement field at the location of the pipe at time

[0122] Specifically, the stress concentration effect index includes:

[0123] ,

[0124] wherein, is a first adjustment factor of the stress concentration effect index, is a second adjustment factor of the stress concentration effect index, is a fourth adjustment factor of the stress concentration effect index, is a third adjustment factor of the stress concentration effect index, is a fifth adjustment factor of the stress concentration effect index.

[0125] Step 103, setting a stress propagation model at the location of the pipe, and calculating a stress propagation index at the location of the pipe according to the stress data message at the location of the pipe;

[0126] Specifically, in order to capture the stress propagation at the crack, weld or other defects of the pipe, the stress propagation model at the location of the pipe includes:

[0127] ,

[0128] wherein, is a stress propagation index at the location of the pipe, is time is the stress at the location of the pipe at time is the stress gradient at the location of the pipe at time is a first adjustment factor of the stress propagation index, is a second adjustment factor of the stress propagation index, is the stress gradient at the location of the pipe at time is the stress at the location of the pipe at time is the stress at the location of the pipe at time

[0129] Step 104, obtaining the temperature in the pipe, and setting a stress heat transfer model, combining the stress data messages of the plurality of locations, to simulate the influence of heat conduction on the stress distribution of the pipe under high temperature environment;

[0130] Specifically, the stress heat transfer model, used to describe the influence of heat conduction on the stress distribution of the pipe under high temperature environment, includes:

[0131] ,

[0132] wherein, is the temperature field at the location of the pipe at time , is the stress distribution at the location of the pipe at time is a first adjustment factor for the stress distribution, is a second adjustment factor for the stress distribution, is a third adjustment factor for the stress distribution, is a fourth adjustment factor for the stress distribution, is the stress distribution at the location of the pipe at time , is the stress at the location of the pipe at time

[0133] Step 105, uploading the stress propagation in the pipe, the stress propagation index at the pipe concentration, and the influence of heat conduction on the stress distribution of the pipe under high temperature environment to the cloud platform to complete stress monitoring.

[0134] The above-mentioned embodiment numbers of the present application are only for description, and do not represent the pros and cons of the embodiments.

[0135] In the above-mentioned embodiments of the present application, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0136] In the several embodiments provided by the present application, it should be understood that the disclosed technology can be implemented in other ways. Of course, the embodiments described above are only schematic. For example, the division of units is only a logical function division, and there can be another division manner in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, unit or module, and can be electrical or other forms.

[0137] The units described as separate components can or can not be physically separate, and the components shown as units can or can not be physical units, that is, they can be located in one place, or distributed on multiple network units. According to actual needs, part or all of the units can be selected to achieve the purpose of the embodiment scheme.

[0138] In addition, each functional unit in each embodiment of the present application can be integrated in one processing unit, or each unit can exist physically, or two or more units can be integrated in one unit. The above integrated unit can be realized in the form of hardware or software functional unit.

[0139] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application or the part of the prior art that essentially contributes or the whole or part of the technical solutions can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes a plurality of instructions for causing a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in the various embodiments of the present application. The aforementioned storage medium includes a U disk, a read-only storage medium (ROM, Read-Only Memory), a random access storage medium (RAM, Random Access Memory), a mobile hard disk, a magnetic disk or an optical disk, and various storage media that can store program codes.

[0140] Obviously, the above embodiments are only examples for clear illustration, and are not limitations on the embodiments. Based on the above description, other different forms of changes or variations can be made by those of ordinary skill in the art. Here, it is not necessary and impossible to enumerate all the embodiments. The obvious changes or variations derived therefrom are still within the protection scope of the present application.

Claims

1. A method for monitoring stress in reheat steam pipelines, characterized in that, include: Stress data messages from multiple locations are acquired using stress sensors installed on the reheat steam pipeline; A pipeline stress propagation model is set up, and the propagation of stress in the pipeline is simulated based on stress data messages from the multiple locations. The pipeline stress propagation model includes: ， in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe Stress propagation velocity at the point, This is a stress concentration effect index used to describe stress concentration at cracks, welds, or other defects in pipelines. For time Location of the pipe The gradient of the stress-displacement field at the location; Set up a stress propagation model at the stress concentration point in the pipeline, and calculate the stress propagation index at the stress concentration point based on the stress data message at the stress concentration point in the pipeline. The temperature inside the pipeline is obtained, and a stress heat transfer model is set up. Combined with stress data messages from multiple locations, the influence of heat conduction on the stress distribution of the pipeline under high temperature conditions is simulated. The stress propagation in the pipeline, the stress propagation index at pipeline concentration points, and the impact of heat conduction on the stress distribution in the pipeline under high temperature conditions are uploaded to the cloud platform to complete stress monitoring.

2. The method for monitoring stress in a reheat steam pipeline as described in claim 1, characterized in that, The stress data messages from multiple locations are parsed and encapsulated using a circular queue.

3. The method for monitoring stress in a reheat steam pipeline as described in claim 1, characterized in that, Stress concentration effect index include: ， in, It is the first adjustment factor for the stress concentration effect index. It is the second adjustment factor for the stress concentration effect index. It is the fourth adjustment factor for the stress concentration effect index. It is the third adjustment factor for the stress concentration effect index. It is the fifth adjustment factor for the stress concentration effect index.

4. The method for monitoring stress in a reheat steam pipeline as described in claim 2, characterized in that, To capture stress propagation at cracks, welds, or other defects in pipelines, stress propagation models at pipeline stress concentration points include: ， in, This is the stress propagation index at the stress concentration point in the pipeline. For time Location of the pipe Stress at the point, As the first adjustment factor for the stress propagation index, The second adjustment factor for the stress propagation index. For time Location of the pipe The stress gradient at that location.

5. The method for monitoring stress in a reheat steam pipeline as described in claim 2, characterized in that, The stress-heat transfer model, used to describe the impact of heat conduction on stress distribution in pipelines under high-temperature environments, includes: ， in, For time Location of the pipe Temperature field at that location, The first adjustment factor for stress distribution. The second adjustment factor for stress distribution. This is the third adjustment factor for stress distribution. This is the fourth adjustment factor for stress distribution. For time Location of the pipe Stress at the location.

6. A stress monitoring system for reheat steam pipelines, characterized in that, include: The data message acquisition module is used to acquire stress data messages from multiple locations using stress sensors installed on the reheat steam pipeline. A simulated pipeline stress propagation model is used to set up the pipeline stress propagation model and simulate the propagation of stress in the pipeline based on stress data messages from the multiple locations. The pipeline stress propagation model includes: ， in, For time Location of the pipe The stress-displacement field at a point indicates the location of the pipe. The change in stress displacement at a given point over time. For time Location of the pipe Stress propagation velocity at the point, This is a stress concentration effect index used to describe stress concentration at cracks, welds, or other defects in pipelines. For time Location of the pipe The gradient of the stress-displacement field at the location; A stress propagation model for simulating pipeline stress concentration points is used to set up the stress propagation model at pipeline stress concentration points and calculate the stress propagation index at pipeline stress concentration points based on stress data messages at pipeline stress concentration points. A stress distribution simulation model is used to obtain the temperature inside the pipeline and set up a stress heat transfer model. Combined with stress data messages from multiple locations, the model simulates the impact of heat conduction on the stress distribution of the pipeline under high temperature conditions. The monitoring module is used to upload data on stress propagation in the pipeline, stress propagation index at pipeline concentration points, and the impact of heat conduction on stress distribution in the pipeline under high-temperature conditions to the cloud platform to complete stress monitoring.

7. The reheat steam pipeline stress monitoring system as described in claim 6, characterized in that, The stress data messages from multiple locations are parsed and encapsulated using a circular queue.

8. The reheat steam pipeline stress monitoring system as described in claim 7, characterized in that, Stress concentration effect index include: ， in, It is the first adjustment factor for the stress concentration effect index. It is the second adjustment factor for the stress concentration effect index. It is the fourth adjustment factor for the stress concentration effect index. It is the third adjustment factor for the stress concentration effect index. It is the fifth adjustment factor for the stress concentration effect index.

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