Pipeline wear volume analysis method and device, electronic equipment and storage medium

Abstract

The invention provides a pipeline abrasion volume analysis method and device, electronic equipment and a storage medium, and relates to the field of structural mechanics analysis of nuclear power plant. A pipeline is arranged in a hole site in a penetrating mode, the hole site is provided with a rectangular limiting block, and the rectangular limiting block comprises a contact surface making contact with the pipeline; the pipeline abrasion volume analysis method comprises the steps that first structure parameters of a pipeline, second structure parameters of a contact face and the inclination angle between the axial direction of the pipeline and the contact face are obtained, the first structure parameters comprise outer diameter data and thickness data of the pipeline, and the second structure parameters comprise length data and width data of the contact face; the actual wear depth of the pipeline is obtained, and the wear stage of the pipeline is determined based on the actual wear depth of the pipeline and a plurality of pre-configured critical wear depths; and determining the theoretical wear volume of the pipeline based on the wear stage, the first structure parameter, the second structure parameter and the inclination angle.

Description

Technical Field

[0001] This application relates to the field of structural mechanics analysis of nuclear power plants, and in particular to a method, apparatus, electronic equipment, and storage medium for analyzing the volume of pipe wear. Background Technology

[0002] In the field of nuclear power, the steam generator serves as the hub between the primary and secondary loops. Through heat transfer tubes, it transfers the heat generated by nuclear fission in the reactor to the secondary loop medium, forming saturated steam to drive the turbine and generate electricity. Simultaneously, the steam generator acts as a physical barrier, preventing radioactive materials from the primary loop from entering the secondary loop and ensuring the safe operation of the reactor system. The interior of the steam generator sleeve is the area where heat transfer tubes heat secondary-side water to generate steam. Multiple layers of heat transfer tube support plates are installed on the straight sections of the heat transfer tubes. Each support plate relies on the contact constraint force between the three-lobed perforations and the heat transfer tubes to provide horizontal support.

[0003] Due to the initial installation gap between the heat transfer tube and the triangular lobed perforation of the support plate, a slight tilt angle occurs when the heat transfer tube contacts the perforation. Under the fluid-structure interaction force, the heat transfer tube vibrates, and this interaction of nonlinear constraints causes fretting wear. The dimensions of the convex surface of the triangular lobed perforation and its contact tilt angle with the heat transfer tube affect the wear rate, but related fretting wear research has not yet been conducted. Furthermore, it is difficult to predict the wear process of the heat transfer tube for different contact tilt angles, thus making it impossible to quantitatively analyze the relationship between the wear volume and wear depth. Summary of the Invention

[0004] In view of this, this application provides a method, apparatus, electronic device and storage medium for pipe wear volume analysis, which enables the prediction and calculation of the wear of heat transfer tubes when the pipes and orifices have different inclination angles.

[0005] In a first aspect, embodiments of this application provide a method for analyzing the volume of pipe wear, wherein the pipe is inserted into a hole, the hole is provided with a rectangular limiting block, the rectangular limiting block includes a contact surface that contacts the pipe, and the method for analyzing the volume of pipe wear includes: The first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the axial direction of the pipe and the contact surface, and the actual wear depth of the pipe are obtained. The first structural parameters include the outer diameter data and thickness data of the pipe, and the second structural parameters include the length data and width data of the contact surface. The wear stage of the pipeline is determined based on the actual wear depth of the pipeline and a number of pre-configured critical wear depths; The theoretical wear volume of the pipeline is determined based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle.

[0006] Secondly, embodiments of this application provide a pipe wear volume analysis device, comprising: The data acquisition module is used to acquire the first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the axial direction of the pipe and the contact surface, and the actual wear depth of the pipe. The first structural parameters include the outer diameter data and thickness data of the pipe, and the second structural parameters include the length data and width data of the contact surface. The data processing module is used to determine the wear stage of the pipeline based on the actual wear depth of the pipeline and multiple pre-configured critical wear depths; The data processing module is also used to determine the theoretical wear volume of the pipeline based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle.

[0007] Thirdly, embodiments of this application provide an electronic device including a processor and a memory, the memory storing a program or instructions that can run on the processor, the program or instructions implementing the steps of the method as described in the first aspect when executed by the processor.

[0008] Fourthly, embodiments of this application provide a readable storage medium on which a program or instructions are stored, which, when executed by a processor, implement the steps of the method as described in the first aspect.

[0009] Fifthly, embodiments of this application provide a chip including a processor and a communication interface, the communication interface being coupled to the processor, the processor being used to run programs or instructions to implement the method as described in the first aspect.

[0010] In a sixth aspect, embodiments of this application provide a computer program product stored in a storage medium, which is executed by at least one processor to implement the method as described in the first aspect.

[0011] Thus, the pipeline wear volume analysis method provided in this application achieves accurate analysis of the theoretical wear volume of the pipeline by comprehensively acquiring the structural parameters, tilt angle, and actual wear depth of the pipeline and contact surface, and clarifies the complex influence relationship between tilt angle, actual wear depth, and wear volume. Furthermore, by dividing the wear into stages based on multiple critical wear depths and employing differentiated calculation models for different stages, the method not only improves the adaptability and accuracy of analyzing the theoretical wear volume of the pipeline but also increases analysis efficiency and reduces human error. This provides reliable data support for the preventative maintenance and safe operation of critical equipment such as steam generators, helping personnel predict pipeline lifespan and adjust pipeline maintenance strategies based on actual wear conditions to prevent potential failures.

[0012] The above description is only an overview of the technical solution of this application. In order to better understand the technical means of this application and to implement it in accordance with the contents of the specification, and to make the above and other objects, features and advantages of this application more obvious and understandable, the following are specific embodiments of this application. Attached Figure Description

[0013] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings: Figure 1 This illustration shows one of the positional diagrams of the pipe and the hole in a pipe wear volume analysis method according to an embodiment of this application; Figure 2 This is a second schematic diagram showing the positions of the pipe and the hole in a pipe wear volume analysis method according to an embodiment of this application; Figure 3 This is shown as the third schematic diagram illustrating the positions of the pipe and the borehole in a pipe wear volume analysis method according to an embodiment of this application; Figure 4 The diagram shows a flow chart of a pipe wear volume analysis method according to an embodiment of this application; Figure 5 (a) shows a schematic diagram of a pipe in the first wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 5 (b) shows a schematic diagram of a pipe in the second wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 5 (c) shows a schematic diagram of a pipe in the third wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 5 (d) in the figure shows a schematic diagram of a pipe in the fourth wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 6 (a) shows a schematic diagram of the wear volume of a pipe in the first wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 6 (b) shows a schematic diagram of the wear volume of a pipe in the second wear stage in a pipe wear volume analysis method according to an embodiment of this application; Figure 6 (c) shows a schematic diagram of the wear volume of a pipeline in the third wear stage in a pipeline wear volume analysis method according to an embodiment of this application; Figure 6(d) in the figure shows a schematic diagram of the wear volume of a pipeline in the fourth wear stage in a pipeline wear volume analysis method according to an embodiment of this application; Figure 7 A structural block diagram of a pipe wear volume analysis device according to an embodiment of this application is shown; Figure 8 A structural block diagram of an electronic device for analyzing pipe wear volume according to an embodiment of this application is shown.

[0014] Explanation of reference numerals in the attached figures: A-pipe, B-rectangular limiting block, C-hole. Detailed Implementation

[0015] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0016] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0017] The methods provided in this application will be described in detail below with reference to the accompanying drawings and through specific embodiments and application scenarios. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0018] This application provides a method for analyzing the volumetric wear of a pipe, where the pipe can be a heat transfer tube of a steam generator, and the orifice of the pipe can be a tri-lobed perforation. Figure 1 and Figure 2 As shown, the pipe passes through the borehole, and a rectangular limiting block is provided on the inner wall of the borehole. The rectangular limiting block includes a contact surface that contacts the pipe. During initial installation, there is a gap between the contact surface and the pipe. Figure 3 As shown, when the steam generator is working, the pipe will vibrate and tilt, causing the pipe to come into contact with the rectangular limiting block. The continuous vibration of the pipe causes the rectangular limiting block to rub against the pipe continuously, and eventually the rectangular limiting block will be embedded into the pipe from the outer wall.

[0019] In this embodiment, a processor capable of implementing a pipe wear volume analysis method is described as the execution entity. Please refer to... Figure 4 The method for analyzing the volume of pipe wear includes: Step 101: The processor obtains the first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the pipe's axial direction and the contact surface, and the actual wear depth of the pipe. The first structural parameters include the pipe's outer diameter data and thickness data, and the second structural parameters include the contact surface's length data and width data.

[0020] The first structural parameters of the pipe and the second structural parameters of the contact surface can be manually entered into the processor by the operator, such as... Figure 3 As shown, based on the positional relationship between the rectangular limiting block and the pipe, the inclination angle between the pipe's axial direction and the contact surface is determined. And tilt angle satisfy: ,in, This is the distance between the pipe and the contact surface. This refers to the length of the contact surface. The actual wear depth of the pipe. The range of values ​​for satisfies: ,in, This refers to the pipe thickness data and the contact surface length data. This refers to the length and width of the longer side of the contact surface. It is half the length of the shorter side of the contact surface, which is also half the width of the contact surface.

[0021] Step 102: The processor determines the wear stage of the pipe based on the actual wear depth of the pipe and multiple pre-configured critical wear depths.

[0022] Specifically, there can be three critical wear depths. Based on the three critical wear depths and the pipe thickness data, the wear stages can be divided into four, and the processor can then determine the wear stage based on the actual wear depth range.

[0023] Step 103: The processor determines the theoretical wear volume of the pipe based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle.

[0024] The processor can determine the theoretical wear volume of the pipe based on different wear stages, call different data, and use different calculation methods. The data called by the processor includes multiple data such as the first structural parameter, the second structural parameter, and the tilt angle.

[0025] Thus, the pipeline wear volume analysis method provided in this application achieves accurate analysis of the theoretical wear volume of the pipeline by comprehensively acquiring the structural parameters, tilt angle, and actual wear depth of the pipeline and contact surface, and clarifies the complex influence relationship between tilt angle, actual wear depth, and wear volume. Furthermore, by dividing the wear into stages based on multiple critical wear depths and employing differentiated calculation models for different stages, the method not only improves the adaptability and accuracy of analyzing the theoretical wear volume of the pipeline but also increases analysis efficiency and reduces human error. This provides reliable data support for the preventative maintenance and safe operation of critical equipment such as steam generators, helping personnel predict pipeline lifespan and adjust pipeline maintenance strategies based on actual wear conditions to prevent potential failures.

[0026] In some embodiments, the pre-configured plurality of critical wear depths includes: a first critical wear depth, a second critical wear depth, and a third critical wear depth.

[0027] Before analyzing the theoretical wear volume of the pipe, the processor can determine multiple critical wear depths based on the pipe's outer diameter data, secondary structural parameters, and tilt angle, so that the wear stage can be determined based on the actual wear depth.

[0028] Specifically, the processor can calculate the first critical wear depth based on the pipe's outer diameter data and the contact surface width data using a pre-configured first formula. The first formula is:

[0029] in, This is the first critical wear depth. For outer diameter data, This is the width data.

[0030] The processor can calculate the second critical wear depth based on the tilt angle and length data using a pre-configured second formula. The second formula is:

[0031] in, This is the second critical wear depth. For length data, The tilt angle.

[0032] The processor can add the first critical wear depth and the second critical wear depth based on a pre-configured third formula to obtain the third critical wear depth. The third formula is:

[0033] in, This is the third critical wear depth. This is the first critical wear depth. This is the second critical wear depth.

[0034] Due to the actual wear depth The range of values ​​for satisfies: ,therefore All Among them, and satisfying The size relationship.

[0035] In the above embodiments, the processor calculates the first critical wear depth and the second critical wear depth based on the first structural parameters of the pipeline and the second structural parameters of the contact surface, and then determines the third critical wear depth based on the first critical wear depth and the second critical wear depth. This realizes the objectification, quantification and automation of the wear stage division standard, and enables the use of a consistent standard to judge the wear stage in actual working conditions. This lays the foundation for subsequent calculation and analysis of the theoretical wear volume of the pipeline, and improves the accuracy and reliability of the pipeline wear volume analysis method.

[0036] In some embodiments, step 102 is implemented as follows: When the actual wear depth H satisfies At that time, it was determined that the pipeline was in the first stage of wear; and / or When the actual wear depth H satisfies At that time, it was determined that the pipeline was in the second wear stage; and / or When the actual wear depth H satisfies At that time, it was determined that the pipeline was in the third wear stage; and / or When the actual wear depth H satisfies At that time, it was determined that the pipeline was in the fourth stage of wear; in, This is the first critical wear depth. This is the second critical wear depth. The third critical wear depth is given by t, where t represents the thickness.

[0037] Specifically, the processor is based on the actual wear depth. The range of values In addition to the first critical wear depth, the second critical wear depth, and the third critical wear depth, the actual wear depth can be determined. The range of values Divided into , , , The four sub-ranges correspond to the first to the fourth wear stages, respectively. For example, the state of the pipeline during the first wear stage is as follows: Figure 5 As shown in (a), the state of the pipe during the second wear stage is as follows. Figure 5 As shown in (b) above, the state of the pipeline in the third wear stage is as follows: Figure 5 As shown in (c), the state of the pipeline in the fourth wear stage is as follows. Figure 5 As shown in (d) above, this is a schematic diagram of the wear volume of the pipeline in the first wear stage. Figure 6 As shown in (a) above, this is a schematic diagram of the wear volume of the pipeline during the second wear stage. Figure 6 As shown in (b) above, the wear volume of the pipeline in the third wear stage is illustrated in the diagram. Figure 6 As shown in (c), the wear volume diagram of the pipeline in the fourth wear stage is as follows. Figure 6 As shown in (d) in the diagram. The processor can match the acquired actual wear depth to the corresponding sub-range, thereby determining the wear stage corresponding to the actual wear depth.

[0038] In the above embodiments, the processor divides the pipe wear process into four consecutive stages based on three critical wear depths, realizing refined and standardized identification of pipe wear state. This provides a crucial prerequisite for adopting the most suitable volume calculation model for different stages, thereby ensuring the accuracy of the analysis of the theoretical wear volume of the pipe. Moreover, it enables staff to accurately grasp the severity of wear, so that the adjustment of the pipe maintenance plan from early warning to emergency intervention has a relatively reliable basis.

[0039] In some embodiments, step 103 is specifically implemented by steps 1031 to 1032: Step 1031: The processor selects the corresponding objective function from a set of pre-configured wear volume calculation functions based on the wear stage at which the actual wear depth is located.

[0040] Step 1032: The processor takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables and substitutes them into the objective function to obtain the theoretical wear volume.

[0041] Specifically, the processor can determine that the pipe is currently in one of four wear stages based on the actual wear depth, and then call different data for each wear stage to calculate the theoretical wear volume. For example, when the pipe is in the first wear stage, the processor calls the outer diameter data, tilt angle, first critical wear depth, actual wear depth, and width data to calculate the theoretical wear volume of the pipe in the current state; when the pipe is in the second wear stage, the processor calls the outer diameter data, tilt angle, first critical wear depth, actual wear depth, second critical wear depth, and width data to calculate the theoretical wear volume of the pipe in the current state; when the pipe is in the third wear stage, the processor calls the outer diameter data, tilt angle, first critical wear depth, actual wear depth, and width data to calculate the theoretical wear volume of the pipe in the current state; when the pipe is in the fourth wear stage, the processor calls the outer diameter data, first critical wear depth, second structural parameters, actual wear depth, and second critical wear data to calculate the theoretical wear volume of the pipe in the current state.

[0042] In the above embodiments, the processor can call different data based on four different wear stages to analyze the theoretical wear volume of the pipeline, improving the accuracy of the pipeline wear volume analysis method. The different calculation data used in the four stages indicate that the four stages have different calculation objective functions, thereby overcoming the errors that may be caused by using a single objective function. The staged calculation method proposed in this embodiment makes the obtained theoretical wear volume more closely match the physical process of pipeline wear under actual working conditions, thus providing a more reliable basis for pipeline remaining life assessment, safety margin analysis, and the formulation of preventive maintenance strategies.

[0043] In some embodiments, step 1032 can be implemented by one of steps 1032a to 1032d: Step 1032a: Determine the theoretical wear volume based on the outer diameter data, tilt angle, and actual wear depth. Utilize a pre-configured first objective function to determine the theoretical wear volume. The first objective function is:

[0044] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. This indicates the actual wear depth.

[0045] Step 1032b: Based on the outer diameter data, tilt angle, first critical wear depth, actual wear depth, and width data, the theoretical wear volume is determined using a pre-configured second objective function. The second objective function is:

[0046] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. This represents the width data.

[0047] Step 1032c: Based on the outer diameter data, tilt angle, first critical wear depth, actual wear depth, second critical wear depth, and width data, the theoretical wear volume is determined using a pre-configured third objective function. The third objective function is:

[0048] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. Represents width data. This indicates the second critical wear depth.

[0049] Step 1032d: Based on the outer diameter data, the first critical wear depth, the second structural parameters, the actual wear depth, and the second critical wear depth, the theoretical wear volume is determined using a pre-configured fourth objective function. The fourth objective function is:

[0050] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. Represents width data. Represents length data, This indicates the second critical wear depth.

[0051] Specifically, the processor has a pre-configured first objective function for the first wear stage, a second objective function for the second wear stage, and a third objective function for the third wear stage. When the processor determines that the pipeline is in a certain wear stage, it can automatically call the objective function corresponding to that wear stage and the data required for the calculation of that objective function to calculate the theoretical wear volume of the pipeline in that wear stage. For example, when the processor determines that the pipeline is in the first wear stage, it can automatically call the first objective function and the data required for the calculation of the first objective function to determine the theoretical wear volume of the pipeline.

[0052] In the pipeline wear analysis method provided in the above embodiments, the processor can automatically call the pre-configured calculation objective function and corresponding data combination for one of the four wear stages of the actual wear depth, thereby determining the complex influence relationship between the tilt angle, the actual wear depth and the theoretical wear volume. This provides a high-precision and high-efficiency quantitative analysis tool for pipeline wear of key equipment such as steam generators, improving the reliability of pipeline working status assessment, the scientific nature of the determined pipeline maintenance plan and the safety of operation of various equipment related to the pipeline.

[0053] For example, in order to better demonstrate the accuracy of the pipe wear volume analysis method provided in the embodiments of this application, Table 1 provides a set of relevant data. The relevant data provided in Table 1 will be used as the data received by the processor for exemplary calculation below.

[0054] Table 1 Relevant Data

[0055] In practice, four sets of actual wear depths were measured, which were 0.0928 mm, 0.2094 mm, 0.3022 mm, and 0.4594 mm, respectively. Using the pipe wear volume analysis method provided in the above embodiments, the theoretical wear volume of the pipe was calculated based on the four sets of actual wear depths. The actual wear volume of the pipe was obtained through actual measurement, and the error between the theoretical wear volume calculated through the embodiments of this application and the actual wear volume was calculated. Relevant data are shown in Table 2.

[0056] Table 2 Calculation Accuracy Analysis

[0057] Based on the data in Table 2, it can be seen that the theoretical wear volume obtained by the pipe wear volume analysis method provided in this application embodiment has a small error with the actual wear volume, and is closer to the actual wear of the pipe. Therefore, the pipe wear volume analysis method provided in this application embodiment can obtain a relatively accurate wear volume based on the pipe's tilt angle and actual wear depth.

[0058] Furthermore, as a specific implementation of the above-mentioned pipeline wear volume analysis method, this application embodiment provides a pipeline wear volume analysis device 700. For example... Figure 7 As shown, the pipe wear volume analysis device 700 includes a data acquisition module 701. The data acquisition module 701 is used to acquire the first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the pipe's axial direction and the contact surface, and the actual wear depth of the pipe. The first structural parameters include the pipe's outer diameter data and thickness data, and the second structural parameters include the length data and width data of the contact surface.

[0059] The pipeline wear volume analysis device 700 includes a data processing module 702. The data processing module 702 is used to determine the wear stage of the pipeline based on the actual wear depth of the pipeline and multiple pre-configured critical wear depths.

[0060] The data processing module 702 is also used to determine the wear volume of the pipe based on the wear depth, as well as the first structural parameter, the second structural parameter, and the tilt angle.

[0061] In some embodiments, the data processing module 702, when determining the wear stage of the pipeline based on the actual wear depth of the pipeline and a plurality of pre-configured critical wear depths, includes: When the actual wear depth H satisfies At that time, data processing module 702 determines that the pipeline is in the second wear stage; and / or When the actual wear depth H satisfies At that time, data processing module 702 determines that the pipeline is in the third wear stage; and / or When the actual wear depth H satisfies At that time, the data processing module 702 determined that the pipeline was in the fourth wear stage; in, This is the first critical wear depth. This is the second critical wear depth. The third critical wear depth is given by t, where t represents the thickness.

[0062] In some embodiments, when the data processing module 702 determines the wear volume of the pipe based on the wear depth, a first structural parameter, a second structural parameter, and an inclination angle, it includes: The data processing module 702 selects the corresponding objective function from a number of pre-configured wear volume calculation functions based on the wear stage of the actual wear depth. The data processing module 702 takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth and the corresponding critical wear depth as input variables, and substitutes them into the objective function to obtain the theoretical wear volume.

[0063] In some embodiments, the data processing module 702 takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables, substitutes them into the objective function to obtain the theoretical wear volume, including: Data processing module 702 determines the theoretical wear volume based on outer diameter data, tilt angle, and actual wear depth. It then uses a pre-configured first objective function to determine the theoretical wear volume. The first objective function is:

[0064] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. This indicates the actual wear depth.

[0065] In some embodiments, the data processing module 702 takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables, substitutes them into the objective function to obtain the theoretical wear volume, including: Based on the outer diameter data, tilt angle, first critical wear depth, actual wear depth, and width data, the theoretical wear volume is determined using a pre-configured second objective function. The second objective function is:

[0066] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. This represents the width data.

[0067] In some embodiments, the data processing module 702 takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables, substitutes them into the objective function to obtain the theoretical wear volume, including: Data processing module 702, based on outer diameter data, tilt angle, first critical wear depth, actual wear depth, second critical wear depth, and width data, uses a pre-configured third objective function to determine the theoretical wear volume. The third objective function is:

[0068] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. Represents width data. This indicates the second critical wear depth.

[0069] In some embodiments, the data processing module 702 takes the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables, substitutes them into the objective function to obtain the theoretical wear volume, including: Based on the outer diameter data, the first critical wear depth, the second structural parameters, the actual wear depth, and the second critical wear depth, the theoretical wear volume is determined using a pre-configured fourth objective function. The fourth objective function is:

[0070] in, Indicates the theoretical wear volume. Indicates outer diameter data. Indicates the tilt angle. Indicates the actual wear depth. Indicates the first critical wear depth. Represents width data. Represents length data, This indicates the second critical wear depth.

[0071] The pipe wear volume analysis device in this application embodiment can be an electronic device or a component of an electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal or other devices besides a terminal. For example, the electronic device can be a mobile phone, tablet computer, laptop computer, PDA, in-vehicle electronic device, mobile internet device (MID), augmented reality (AR) / virtual reality (VR) device, robot, wearable device, ultra-mobile personal computer (UMPC), netbook, or personal digital assistant (PDA), etc. It can also be a server, network attached storage (NAS), personal computer (PC), television (TV), ATM, or self-service machine, etc. This application embodiment does not specifically limit the device.

[0072] The pipe wear volume analysis device provided in this application embodiment can achieve... Figures 1 to 6 The various processes implemented in the method implementation examples will not be described again here to avoid repetition.

[0073] This application also provides an electronic device, such as... Figure 8 As shown, the electronic device 800 includes a processor 801 and a memory 802. The memory 802 stores a program or instruction that can run on the processor 801. When the program or instruction is executed by the processor 801, it implements the various steps of the above-described embodiment of the pipe wear volume analysis method and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0074] The memory 802 can be used to store software programs and various data. The memory 802 may primarily include a first storage area for storing programs or instructions and a second storage area for storing data. The first storage area may store the operating system, application programs or instructions required for at least one function (such as sound playback, image playback, etc.). Furthermore, the memory 802 may include volatile memory or non-volatile memory, or both. The non-volatile memory may be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. Volatile memory can be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DRRAM). The memory 802 in the embodiments of this application includes, but is not limited to, these and any other suitable types of memory.

[0075] Processor 801 may include one or more processing units; optionally, processor 801 integrates an application processor and a modem processor, wherein the application processor mainly handles operations involving the operating system, user interface, and applications, and the modem processor mainly handles wireless communication signals, such as a baseband processor. It is understood that the aforementioned modem processor may also not be integrated into processor 801.

[0076] This application also provides a readable storage medium storing a program or instructions. When the program or instructions are executed by a processor, they implement the various processes of the above-described pipeline wear volume analysis method embodiment and achieve the same technical effect. To avoid repetition, they will not be described again here.

[0077] This application also provides a chip, which includes a processor and a communication interface. The communication interface and the processor are coupled. The processor is used to run programs or instructions to implement the various processes of the above-described pipeline wear volume analysis method embodiments and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0078] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0079] This application also provides a computer program product, which is stored in a storage medium and executed by at least one processor to implement the various processes of the above-described pipeline wear volume analysis method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be described again here.

[0080] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element. Furthermore, it should be noted that the scope of the methods and apparatuses in the embodiments of this application is not limited to performing functions in the order shown or discussed, but may also include performing functions substantially simultaneously or in the reverse order, depending on the functions involved. For example, the described methods may be performed in a different order than described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

[0081] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for analyzing the volume of pipe wear, characterized in that, The pipe passes through the hole, and the hole is provided with a rectangular limiting block. The rectangular limiting block includes a contact surface that contacts the pipe. The pipe wear volume analysis method includes: The first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the axial direction of the pipe and the contact surface, and the actual wear depth of the pipe are obtained. The first structural parameters include the outer diameter data and thickness data of the pipe, and the second structural parameters include the length data and width data of the contact surface. The wear stage of the pipeline is determined based on the actual wear depth of the pipeline and a number of pre-configured critical wear depths; The theoretical wear volume of the pipeline is determined based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle.

2. The pipe wear volume analysis method according to claim 1, characterized in that, The determination of the wear stage of the pipeline based on the actual wear depth of the pipeline and a plurality of pre-configured critical wear depths includes: When the actual wear depth H satisfies At that time, it is determined that the pipe is in the first wear stage; and / or When the actual wear depth H satisfies At that time, it is determined that the pipe is in the second wear stage; and / or When the actual wear depth H satisfies At that time, it was determined that the pipe was in the third wear stage; and / or When the actual wear depth H satisfies At that time, it was determined that the pipeline was in the fourth wear stage; in, This is the first critical wear depth. This is the second critical wear depth. The third critical wear depth is given by t, where t is the thickness data.

3. The pipe wear volume analysis method according to claim 2, characterized in that, The determination of the theoretical wear volume of the pipeline based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle includes: Based on the wear stage at which the actual wear depth is located, a corresponding objective function is selected from a set of pre-configured wear volume calculation functions; The first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth are used as input variables and substituted into the objective function to obtain the theoretical wear volume.

4. The pipe wear volume analysis method according to claim 3, characterized in that, The step of substituting the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables into the objective function to obtain the theoretical wear volume includes: The theoretical wear volume is determined based on the outer diameter data, the tilt angle, and the actual wear depth. A pre-configured first objective function is then used to determine the theoretical wear volume. The first objective function is: in, This represents the theoretical wear volume. This indicates the outer diameter data. Indicates the tilt angle, This indicates the actual wear depth.

5. The pipe wear volume analysis method according to claim 3, characterized in that, The step of substituting the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables into the objective function to obtain the theoretical wear volume includes: Based on the outer diameter data, the tilt angle, the first critical wear depth, the actual wear depth, and the width data, the theoretical wear volume is determined using a pre-configured second objective function, which is: in, This represents the theoretical wear volume. This indicates the outer diameter data. Indicates the tilt angle, This indicates the actual wear depth. This indicates the first critical wear depth. This refers to the width data.

6. The pipe wear volume analysis method according to claim 3, characterized in that, The step of substituting the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables into the objective function to obtain the theoretical wear volume includes: Based on the outer diameter data, the tilt angle, the first critical wear depth, the actual wear depth, the second critical wear depth, and the width data, the theoretical wear volume is determined using a pre-configured third objective function, which is: in, This represents the theoretical wear volume. This indicates the outer diameter data. Indicates the tilt angle, This indicates the actual wear depth. This indicates the first critical wear depth. This represents the width data. This indicates the second critical wear depth.

7. The pipe wear volume analysis method according to claim 3, characterized in that, The step of substituting the first structural parameter, the second structural parameter, the tilt angle, the actual wear depth, and the corresponding critical wear depth as input variables into the objective function to obtain the theoretical wear volume includes: Based on the outer diameter data, the first critical wear depth, the second structural parameters, the actual wear depth, and the second critical wear depth, the theoretical wear volume is determined using a pre-configured fourth objective function, which is: in, This represents the theoretical wear volume. This indicates the outer diameter data. Indicates the tilt angle, This indicates the actual wear depth. This indicates the first critical wear depth. This represents the width data. This indicates the length data. This indicates the second critical wear depth.

8. A pipe wear volume analysis device, characterized in that, The pipe passes through the hole, and the hole is provided with a rectangular limiting block. The rectangular limiting block includes a contact surface that contacts the pipe. The pipe wear volume analysis device includes: The data acquisition module is used to acquire the first structural parameters of the pipe, the second structural parameters of the contact surface, the inclination angle between the axial direction of the pipe and the contact surface, and the actual wear depth of the pipe. The first structural parameters include the outer diameter data and thickness data of the pipe, and the second structural parameters include the length data and width data of the contact surface. The data processing module is used to determine the wear stage of the pipeline based on the actual wear depth of the pipeline and multiple pre-configured critical wear depths; The data processing module is also used to determine the theoretical wear volume of the pipeline based on the wear stage, the first structural parameter, the second structural parameter, and the tilt angle.

9. An electronic device, characterized in that, It includes a processor and a memory, the memory storing a program or instructions that run on the processor, the program or instructions being executed by the processor to implement the steps of the pipe wear volume analysis method as described in any one of claims 1 to 8.

10. A readable storage medium having a program or instructions stored thereon, characterized in that, When the program or instructions are executed by the processor, they implement the steps of the pipe wear volume analysis method as described in any one of claims 1 to 8.

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