Method and device for safety evaluation of water diversion pressure steel pipe of hydroelectric generating set

Abstract

The present application relates to the technical field of metrology, and particularly relates to a safety evaluation method and device for a water diversion pressure steel pipe of a hydroelectric generating set, wherein the method comprises: obtaining structural parameters of a target water diversion pressure steel pipe of the hydroelectric generating set, and constructing a three-dimensional image model of the target water diversion pressure steel pipe based on the structural parameters; based on the structural parameters and a preset monitoring point setting condition, marking a plurality of monitoring points in the three-dimensional image model to obtain current wall thickness data of the plurality of monitoring points, and calculating a wall thickness abrasion rate of the target water diversion pressure steel pipe; and combining operation data, material data, the current wall thickness data and the wall thickness abrasion rate of the target water diversion pressure steel pipe to obtain a safety evaluation result of the target water diversion pressure steel pipe. Thus, the problem of high-altitude operation safety hazards caused by the fact that related technologies rely on manual operation and long-term and continuous monitoring is difficult to achieve, thereby causing excessive consumption of manpower and resources and a large error in the evaluation of the remaining life of the steel pipe is solved.

Description

Technical Field

[0001] This invention relates to the field of metering technology, and in particular to a method and apparatus for safety assessment of the water intake pressure steel pipe of a hydroelectric power unit. Background Technology

[0002] The pressure pipe for hydroelectric generating units is a crucial channel connecting the upstream water source and the turbine. Its function is to efficiently transfer water energy to the generating unit under high head conditions, making it a key pressure-bearing component in the hydroelectric power station's energy conversion system. The sloping sections and top areas of the pressure pipe are typically the most severely worn parts due to intense water flow turbulence, cavitation erosion, and significant corrosion from water chemicals. Ruptures or leaks in these areas can lead to severe economic losses and safety accidents.

[0003] In related technologies, the inspection of the water intake pressure steel pipe of hydropower units is usually carried out by methods such as regular manual inspection, endoscopic inspection, ultrasonic or magnetic particle inspection to detect local defects in the water intake pressure steel pipe, which can preliminarily determine the structural integrity of the steel pipe and the location of potential damage.

[0004] However, the relevant technologies rely heavily on manual operation, requiring manual contact with steel pipes for inspection, which can easily lead to safety hazards at heights and consume a lot of manpower and resources. At the same time, they cannot achieve long-term, continuous monitoring, resulting in a lack of continuous data support for pipe wall wear and corrosion rates, leading to significant errors in the remaining life assessment, which urgently needs to be addressed. Summary of the Invention

[0005] This invention provides a method and apparatus for safety assessment of the water intake pressure steel pipe of a hydropower unit, in order to solve the problems in related technologies, which rely heavily on manual operation, easily causing safety hazards in high-altitude operations, and making it difficult to achieve long-term and continuous monitoring, resulting in excessive consumption of manpower and material resources and large errors in the remaining life assessment.

[0006] A first aspect of the present invention provides a method for safety assessment of the water intake pressure steel pipe of a hydropower unit, comprising the following steps: obtaining structural parameters of the target water intake pressure steel pipe of the hydropower unit, and constructing a three-dimensional image model of the target water intake pressure steel pipe based on the structural parameters; marking multiple monitoring points in the three-dimensional image model based on the structural parameters and preset monitoring point setting conditions to obtain the current wall thickness data of the multiple monitoring points; calculating the wall thickness wear rate of the target water intake pressure steel pipe based on the current wall thickness data; and obtaining the safety assessment result of the target water intake pressure steel pipe by combining the operating data, material data, current wall thickness data, and wall thickness wear rate of the target water intake pressure steel pipe.

[0007] Through the above technical means, the embodiments of the present invention can obtain the current wall thickness data and wall wear rate at each monitoring point based on the monitoring points deployed in the three-dimensional image model of the water diversion pressure steel pipe. Combined with the operating data and material data of the steel pipe, a safety assessment of the target water diversion pressure steel pipe can be carried out. This enables long-term fixed-point, high-frequency monitoring, calculation of the pipe's wear rate, corrosion rate, and remaining life. It is particularly suitable for sloping sections, tops, and other key parts that are difficult to detect directly. It can improve the accuracy of defect judgment and monitoring efficiency, while reducing inspection costs and ensuring the safe operation of the hydropower station.

[0008] Optionally, in one embodiment of the present invention, the step of combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe to obtain the safety assessment result of the target water diversion pressure steel pipe includes: determining the design wall thickness of the target water diversion pressure steel pipe based on the structural parameters; determining a safe wall thickness threshold for multiple monitoring points based on the design wall thickness; determining the wall thickness safety level of multiple monitoring points based on the safe wall thickness threshold, the current wall thickness data, and the wall wear rate; and performing corresponding color rendering for the monitoring points based on the wall thickness safety level to generate a life assessment report of the target water diversion pressure steel pipe that meets preset visualization conditions.

[0009] Through the above technical means, the embodiments of the present invention can perform corresponding color rendering for monitoring points based on the wall thickness safety level to generate a visual life assessment report of the steel pipe. It can intuitively display the safety status and remaining life distribution of each area of ​​the pipeline, helping operators to quickly identify key parts with severe wear or potential risks, and realize preventive maintenance and scientific decision-making.

[0010] Optionally, in one embodiment of the present invention, the step of calculating the wall wear rate of the target water diversion pressure steel pipe based on the current wall thickness data includes: acquiring historical wall thickness data of multiple monitoring points; performing time-series analysis on the historical wall thickness data and the current wall thickness data to calculate the wall wear rate of the multiple monitoring points.

[0011] Through the above technical means, the embodiments of the present invention can calculate the wall thickness wear rate of monitoring points based on historical wall thickness data and current wall thickness data, quantify the wear intensity and change trend of pipelines at different locations and time periods, provide a quantitative basis for remaining service life assessment, and through time-series analysis of wall thickness wear rate, identify high wear areas, determine the local structural degradation rate, and provide a scientific basis for formulating maintenance, reinforcement or replacement plans.

[0012] Optionally, in one embodiment of the present invention, obtaining the safety assessment result of the target water diversion pressure steel pipe by combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe includes: extracting the operating time data and operating condition data of the target water diversion pressure steel pipe from the operating data; calculating the average water flow velocity and average sediment content in the water flow of the target water diversion pressure steel pipe based on the operating condition data; determining the material strength grade of the target water diversion pressure steel pipe based on the material data; estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the operating time data, the average water flow velocity, the average sediment content, and the material strength grade; calculating the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe; optimizing the comprehensive wear coefficient of the pre-constructed wear prediction model based on the expected wear depth and the actual wear depth to obtain an optimized actual wear prediction model; and using the actual wear prediction model to assess the remaining life of the target water diversion pressure steel pipe.

[0013] Through the above technical means, the embodiments of the present invention can construct an actual wear prediction model based on operating time data, average water flow velocity, average sediment content, and material strength, and then assess the remaining life of the water diversion pressure steel pipe according to the actual wear prediction model. It can comprehensively consider operating conditions, material characteristics, and historical wear data to achieve dynamic safety assessment of the pipeline structure, provide a scientific basis for pipeline maintenance, maintenance plan formulation, and risk prevention and control, and improve the safety and reliability of hydropower station operation.

[0014] Optionally, in one embodiment of the present invention, the step of evaluating the remaining life of the target water diversion pressure steel pipe using the actual wear prediction model includes: predicting the future wear rate of the target water diversion pressure steel pipe at multiple monitoring points using the actual wear prediction model; and evaluating the remaining life using the future wear rate and the safe wall thickness threshold of the target water diversion pressure steel pipe.

[0015] Through the above technical means, the embodiments of the present invention can calculate the remaining life of the water diversion pressure steel pipe based on the future wear rate predicted by the actual wear prediction model and the safe wall thickness threshold of each monitoring point. This can quantify the service life of each part of the pipeline, identify potential high-risk areas, and provide a basis for formulating maintenance, reinforcement, or replacement strategies. At the same time, the prediction results can be dynamically updated, enabling real-time monitoring and preventive maintenance of the pipeline's operating status, thereby effectively improving the level of safety management and reducing operational risks.

[0016] Optionally, in one embodiment of the present invention, estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the running time data, the average water flow velocity, the average sediment content, and the material strength grade includes: dividing the three-dimensional image model into multiple fluid meshes; setting boundary conditions based on the multiple fluid meshes and constructing a multiphase flow model to simulate the flow of water and sediment in the target water diversion pressure steel pipe; calculating the flow field based on the multiphase flow model to obtain the flow velocity, pressure, and turbulent kinetic energy distribution in the target water diversion pressure steel pipe; injecting sediment particles into the three-dimensional image model based on the flow field to calculate the trajectory of the sediment particles and statistically analyze the impact velocity, impact angle, and frequency of the sediment particles on the pipe wall of the target water diversion pressure steel pipe; and constructing the wear prediction model by combining the impact velocity, the impact angle, the frequency, and the attribute information of the sediment particles.

[0017] Through the above technical means, the embodiments of the present invention can construct a wear prediction model based on the impact velocity, impact angle, frequency and property information of silt particles, which can more accurately reflect the actual wear effect of silt on the pipe wall, distinguish between cutting wear and deformation wear mechanisms, and predict the wear rate and trend of each monitoring point under different working conditions.

[0018] A second aspect of the present invention provides a safety assessment device for a water intake pressure steel pipe of a hydropower unit, comprising: a construction module for acquiring structural parameters of a target water intake pressure steel pipe of the hydropower unit, and constructing a three-dimensional image model of the target water intake pressure steel pipe based on the structural parameters; an acquisition module for marking multiple monitoring points in the three-dimensional image model based on the structural parameters and preset monitoring point setting conditions, and acquiring current wall thickness data of the multiple monitoring points; a calculation module for calculating the wall thickness wear rate of the target water intake pressure steel pipe based on the current wall thickness data; and an assessment module for combining the operating data, material data, current wall thickness data, and wall thickness wear rate of the target water intake pressure steel pipe to obtain a safety assessment result of the target water intake pressure steel pipe.

[0019] Optionally, in one embodiment of the present invention, the evaluation module includes: a first determining unit, configured to determine the design wall thickness of the target water diversion pressure steel pipe based on the structural parameters; a second determining unit, configured to determine a safe wall thickness threshold for a plurality of monitoring points based on the design wall thickness; a third determining unit, configured to determine the wall thickness safety level of the plurality of monitoring points based on the safe wall thickness threshold, the current wall thickness data, and the wall thickness wear rate; and a generating unit, configured to perform corresponding color rendering for the monitoring points based on the wall thickness safety level, so as to generate a life assessment report of the target water diversion pressure steel pipe that meets preset visualization conditions.

[0020] Optionally, in one embodiment of the present invention, the calculation module includes: an acquisition unit for acquiring historical wall thickness data of multiple monitoring points; and a first calculation unit for performing time-series analysis on the historical wall thickness data and the current wall thickness data to calculate the wall thickness wear rate of the multiple monitoring points.

[0021] Optionally, in one embodiment of the present invention, the evaluation module includes: an extraction unit for extracting operating time data and operating condition data of the target water diversion pressure steel pipe from the operating data; a second calculation unit for calculating the average water flow velocity and average sediment content in the water flow of the target water diversion pressure steel pipe based on the operating condition data; a fourth determination unit for determining the material strength grade of the target water diversion pressure steel pipe based on the material data; an estimation unit for estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the operating time data, the average water flow velocity, the average sediment content, and the material strength grade; a third calculation unit for calculating the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe; an optimization unit for optimizing the comprehensive wear coefficient of a pre-built wear prediction model based on the expected wear depth and the actual wear depth to obtain an optimized actual wear prediction model; and an evaluation unit for evaluating the remaining life of the target water diversion pressure steel pipe using the actual wear prediction model.

[0022] Optionally, in one embodiment of the present invention, the evaluation unit includes: a prediction subunit, used to predict the future wear rate of the target water diversion pressure steel pipe at multiple monitoring points using the actual wear prediction model; and an evaluation subunit, used to evaluate the remaining life using the future wear rate and the safe wall thickness threshold of the target water diversion pressure steel pipe.

[0023] Optionally, in one embodiment of the present invention, the estimation unit includes: a partitioning subunit for partitioning the three-dimensional image model into multiple fluid meshes; a simulation subunit for setting boundary conditions based on the multiple fluid meshes and constructing a multiphase flow model to simulate the flow of water and sediment in the target water diversion pressure steel pipe; an acquisition subunit for calculating the flow field based on the multiphase flow model to obtain the flow velocity, pressure, and turbulent kinetic energy distribution in the target water diversion pressure steel pipe; a statistics subunit for injecting sediment particles into the three-dimensional image model based on the flow field to calculate the motion trajectory of the sediment particles and statistically analyze the impact velocity, impact angle, and frequency of the sediment particles on the pipe wall of the target water diversion pressure steel pipe; and a construction subunit for constructing the wear prediction model by combining the impact velocity, the impact angle, the frequency, and the attribute information of the sediment particles.

[0024] A third aspect of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the safety assessment method for the water intake pressure steel pipe of a hydroelectric generator as described in the above embodiments.

[0025] A fourth aspect of the present invention provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for safety assessment of the water intake pressure steel pipe of a hydroelectric generator.

[0026] A fifth aspect of the present invention provides a computer program product, including a computer program that, when executed, is used to implement the above-described method for safety assessment of the water intake pressure steel pipe of a hydroelectric generator.

[0027] Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0028] The above and / or additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0029] Figure 1 A flowchart illustrating a safety assessment method for the water intake pressure steel pipe of a hydroelectric generator according to an embodiment of the present invention;

[0030] Figure 2 This is a flowchart illustrating a safety assessment method for the water intake pressure steel pipe of a hydroelectric generator unit according to an embodiment of the present invention.

[0031] Figure 3A block diagram of a safety assessment device for a water intake pressure steel pipe of a hydroelectric generator provided according to an embodiment of the present invention;

[0032] Figure 4 This is a schematic diagram of the structure of an electronic device according to an embodiment of the present invention.

[0033] Figure label:

[0034] 10-Safety assessment device for the water intake pressure steel pipe of hydropower unit; 100-Construction module, 200-Acquisition module, 300-Calculation module, 400-Evaluation module; 401-Memory, 402-Processor, 403-Communication interface. Detailed Implementation

[0035] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain the present invention, and should not be construed as limiting the present invention.

[0036] The following describes a method and apparatus for safety assessment of the water intake pressure steel pipe of a hydropower unit according to an embodiment of the present invention, with reference to the accompanying drawings. Addressing the technical problems mentioned in the background art, such as the reliance on manual operation leading to safety hazards at heights and the difficulty in achieving long-term, continuous monitoring, resulting in excessive consumption of manpower and resources and significant errors in remaining life assessment, the present invention provides a method for safety assessment of the water intake pressure steel pipe of a hydropower unit. In this method, monitoring points are deployed in a three-dimensional image model of the water intake pressure steel pipe to obtain the current wall thickness data and wall wear rate at each monitoring point. Combined with the operating data and material data of the steel pipe, a safety assessment of the target water intake pressure steel pipe is performed. This method enables long-term, fixed-point, high-frequency monitoring, calculation of the pipe's wear rate, corrosion rate, and remaining life. It is particularly suitable for sloping sections, tops, and other critical parts that are difficult to directly inspect, improving the accuracy of defect identification and monitoring efficiency while reducing inspection costs and ensuring the safe operation of the hydropower station. Therefore, it solves the problems of related technologies relying heavily on manual operation, which easily leads to safety hazards at heights and the difficulty in achieving long-term, continuous monitoring, resulting in excessive consumption of manpower and resources and significant errors in remaining life assessment.

[0037] Specifically, Figure 1 This is a flowchart illustrating a safety assessment method for the water intake pressure steel pipe of a hydroelectric generator provided in an embodiment of the present invention.

[0038] like Figure 1 As shown, the safety assessment method for the water intake pressure steel pipe of this hydropower unit includes the following steps:

[0039] In step S101, the structural parameters of the target water intake pressure steel pipe of the hydropower unit are obtained, and a three-dimensional image model of the target water intake pressure steel pipe is constructed based on the structural parameters.

[0040] In this embodiment of the invention, structural parameters such as length, diameter, wall thickness, bends, and slope of the water diversion pressure steel pipe can be obtained by means including but not limited to laser scanning and photogrammetry. Then, a three-dimensional image model of the water diversion pressure steel pipe can be constructed using three-dimensional modeling software for subsequent defect detection, wear and corrosion assessment, stress analysis, and remaining life prediction of the pressure steel pipe, so as to achieve comprehensive, intuitive and accurate monitoring of the condition of the steel pipe.

[0041] The acquisition method and structural parameters can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0042] As one possible implementation method, embodiments of the present invention can use a laser scanner to scan the entire steel pipe section, focusing on collecting parameters such as the slope of the sloping section (e.g., 25°~60°), the top radius of curvature, the turning angle (e.g., 90° bend), the pipe diameter change points (e.g., transition sections), and expansion joints; further, the scanned data is imported into AutoCADPlant3D or BentleyOpenPlant software to generate a 1:1 scale three-dimensional image model of the water diversion pressure steel pipe, and the pipe section numbers are marked, such as #1~#50 sloping section cylinder section, #50~#100 horizontal section cylinder section, top of area A, and sloping section of area B.

[0043] In actual implementation, embodiments of the present invention can process a crawler integrating a magnetic suction device, an electromagnetic ultrasonic thickness gauge probe, an encoder, and a wireless transmission module to scan the entire section of a steel pipe. The magnetic suction device can be a permanent magnet or an electromagnetic adsorption component, and the adsorption force can be automatically adjusted according to the curvature of the steel pipe (≥50N) to ensure stable movement on slopes with a gradient of ≥30° and on inverted curved surfaces at the top. The encoder can be used to record the real-time position coordinates of the crawler (accuracy ≤0.1mm). The wireless transmission module can support Bluetooth / WiFi data transmission (distance ≥50 meters).

[0044] The embodiments of the present invention can utilize a crawler to move stably on slopes with a gradient of ≥30° and on the top inverted curved surface without the need to erect scaffolding or lifting platforms, thereby effectively solving the accessibility problem of related calculations in "monitoring blind spots" such as slopes and tops.

[0045] In step S102, based on structural parameters and preset monitoring point setting conditions, multiple monitoring points are marked in the three-dimensional image model to obtain the current wall thickness data of multiple monitoring points.

[0046] It should be noted that the preset monitoring point setting conditions should meet the requirements of uniform and reasonable setting of monitoring points to ensure that the overall operating status and local structural changes of the steel pipe can be accurately reflected, while achieving full coverage of key parts and vulnerable areas of the steel pipe. These conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0047] As a specific example, in this embodiment of the invention, monitoring points can be marked in a three-dimensional image model. For the slope section, a circumferential monitoring line can be set every 2 meters along the axial direction, with 8 points evenly distributed on each line (at 45° intervals). The top mid-section is the monitoring area, divided into 1m long square grids, each with 8 points evenly distributed. For the horizontal section, a circumferential monitoring line can be set every 3 meters, with 4 points evenly distributed on each line. Each monitoring point is assigned a unique number (e.g., X-01-01, where X represents the slope section, 01 represents the first monitoring line, and 01 represents the first point on that line), and wall thickness data (e.g., 20mm), coordinates (X, Y, Z), and historical detection data are recorded.

[0048] Furthermore, in this embodiment of the invention, a crawler scanning path covering the entire pipe section can be automatically generated based on a three-dimensional image model and monitoring points using a path planning algorithm. The path should include a spiral climbing trajectory on the slope section (pitch 2-5 meters, coverage overlap rate ≥10%) and a grid of equal spacing at the top (interval between adjacent paths 0.8-1.5 meters).

[0049] It can be explained that, in the embodiments of the present invention, the crawler can be controlled to move along the scanning path, and the wall thickness can be measured non-contactly using the probe of the electromagnetic ultrasonic thickness gauge. There is no need to grind the surface or apply a coupling agent. It can penetrate the anti-corrosion coating of steel pipes and the measurement accuracy is ±0.1mm. The position coordinates can also be obtained through the encoder, and the thickness data and coordinates can be sent to the data processing terminal in real time through the wireless transmission module.

[0050] In step S103, the wall wear rate of the target water diversion pressure steel pipe is calculated based on the current wall thickness data.

[0051] It can be explained that the wall thickness wear rate refers to the rate at which the wall thickness of a water pressure steel pipe decreases per unit time during operation. It is used to characterize the degree of material loss of the pipe wall under the action of fluid scouring, cavitation, and chemical corrosion. It is usually expressed in millimeters per year (mm / a) and can be calculated from wall thickness measurement data at different times. The wall thickness wear rate is usually closely related to factors such as water flow velocity, water pressure pulsation, water flow turbulence, solid particle content, water quality chemical composition, pipe wall material properties, anti-corrosion layer integrity, and operating time. Wall thickness wear will cause the pressure bearing capacity and structural stability of the water pressure steel pipe to gradually decrease, which may cause safety hazards such as local stress concentration, material fatigue, leakage, or even rupture.

[0052] Optionally, in one embodiment of the present invention, calculating the wall wear rate of the target water diversion pressure steel pipe based on the current wall thickness data includes: acquiring historical wall thickness data of multiple monitoring points; performing time-series analysis on the historical wall thickness data and the current wall thickness data to calculate the wall wear rate of the multiple monitoring points.

[0053] As one possible implementation, embodiments of the present invention can use linear regression or exponential smoothing algorithms to calculate the wall thickness wear rate at each monitoring point, which can be specifically expressed as:

[0054] ,

[0055] in, The wear rate is the wall thickness; t0 is the initial wall thickness, t n Let t be the wall thickness measured in the nth measurement, and t be the monitoring period.

[0056] It can be explained that, in the embodiments of the present invention, abnormal data (deviation > 5%) caused by electromagnetic interference or motion jitter can be removed first, and missing data can be filled in by interpolation. Then, linear regression can be performed on multiple measurement data of the same monitoring point (e.g., once a year for 5 consecutive years).

[0057] In step S104, the safety assessment result of the target water diversion pressure steel pipe is obtained by combining the operating data, material data, current wall thickness data and wall wear rate of the target water diversion pressure steel pipe.

[0058] Among them, the operating data of the water diversion pressure steel pipe can be dynamic parameters collected during the operation of the unit that reflect the stress and fluid state of the steel pipe, including but not limited to water flow velocity, water pressure, water temperature, vibration signal, sediment content, start-up and shutdown frequency, and running time, which can be used to describe the actual stress and environmental conditions of the steel pipe under different working conditions; the material data can be the physical, chemical and mechanical property parameters of the steel pipe body and weld materials, including but not limited to yield strength, tensile strength, elastic modulus, hardness, chemical composition and anti-corrosion layer performance, which can be used to reflect the wear resistance, corrosion resistance and pressure bearing capacity of the material; the operating data and material data can provide key basis for the structural stress calculation, wear rate analysis and remaining service life assessment of the water diversion pressure steel pipe.

[0059] Based on operational data, material data, current wall thickness data, and wall wear rate, this invention provides a safety assessment result for a water-diverting pressure steel pipe. This result can be used to quantitatively reflect the structural health status, pressure-bearing safety margin, and remaining service life of the steel pipe, thereby determining whether it meets long-term operational requirements.

[0060] Optionally, in one embodiment of the present invention, the safety assessment result of the target water diversion pressure steel pipe is obtained by combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe, including: determining the design wall thickness of the target water diversion pressure steel pipe based on structural parameters; determining the safe wall thickness threshold for multiple monitoring points based on the design wall thickness; determining the wall thickness safety level of multiple monitoring points based on the safe wall thickness threshold, current wall thickness data, and wall wear rate; and performing corresponding color rendering for the corresponding monitoring points based on the wall thickness safety level to generate a life assessment report of the target water diversion pressure steel pipe that meets preset visualization conditions.

[0061] The preset visualization conditions refer to the ability to display data on the web, supporting zooming, rotation, and single-point windowing for viewing detailed data. They can also refer to the ability to achieve the same interactive functions on mobile devices or local terminals, supporting multi-user access, data synchronization and updates, and historical data backtracking. These conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0062] As one possible implementation method, as shown in Table 1, embodiments of the present invention can set a safe wall thickness threshold. For example, the current wall thickness data is set to ≥90% as safe, 80%~90% as a warning, and <80% as high risk; the wall thickness wear rate is ≤0.1mm / year as safe, 0.1~0.3mm / year as a warning, and >0.3mm / year as high risk.

[0063] Furthermore, embodiments of the present invention can classify wall thickness safety levels based on the current wall thickness data and wall thickness wear rate according to a safe wall thickness threshold, which may include, but are not limited to, three levels of danger: green (safe), yellow (warning), and red (high risk). Table 1 is a risk level classification table.

[0064] Table 1

[0065]

[0066] Finally, this embodiment of the invention can render color markers in a 3D image model to generate an interactive web-based visual life assessment report. It supports zooming, rotation, and single-point window viewing of detailed data. It can also automatically generate maintenance work orders based on the assessment results. For example, red areas can be scheduled for manual re-inspection within one week, and a welding repair plan can be formulated; yellow areas can be included in the key monitoring plan for the next quarter, and the inspection frequency can be increased to once every six months; green areas can be monitored according to the regular cycle (once a year) to intuitively and quickly identify the risk level and remaining life of vulnerable parts such as slope sections, tops, and bends, thereby providing an intuitive and quantifiable basis for maintenance arrangements and reinforcement plans.

[0067] Optionally, in one embodiment of the present invention, the safety assessment result of the target water diversion pressure steel pipe is obtained by combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe, including: extracting the operating time data and working condition data of the target water diversion pressure steel pipe from the operating data; calculating the average water flow velocity and average sediment content in the water flow of the target water diversion pressure steel pipe based on the working condition data; determining the material strength grade of the target water diversion pressure steel pipe based on the material data; estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the operating time data, average water flow velocity, average sediment content, and material strength grade; calculating the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe; optimizing the comprehensive wear coefficient of the pre-constructed wear prediction model based on the expected wear depth and the actual wear depth to obtain the optimized actual wear prediction model; and using the actual wear prediction model to assess the remaining life of the target water diversion pressure steel pipe.

[0068] It can be noted that the average water flow velocity and the average sediment content in the water flow are important operating parameters affecting pipe wall wear and corrosion in water pressure steel pipes. A higher average water flow velocity results in stronger shear stress and scouring effects on the pipe wall, easily exacerbating localized cavitation and mechanical wear, especially in turbulent areas such as bends and slopes, leading to a significant increase in wall thinning rate. The average sediment content reflects the concentration of solid particles in the water flow. When the sediment content is high, solid particles in the high-speed water flow create a long-term erosion effect on the pipe wall, causing micro-pits and scratches on the material surface, further accelerating corrosion. The material strength grade, including but not limited to carbon structural steel or low-alloy high-strength structural steel such as Q235, Q345, Q390, Q420, and Q460, directly affects the pipe's wall thickness design, pressure bearing capacity, and fatigue life assessment. The embodiments of the present invention can identify the duration of operating conditions such as high head, high flow velocity or high sand content by performing time-series analysis on the operating time data, thereby quantifying the contribution of different stages to pipe wall wear and corrosion.

[0069] Furthermore, embodiments of the present invention can also combine operating time data with working condition data and material strength grade to establish a predictive model of time-wear depth-remaining life, thereby realizing dynamic assessment and risk warning of the service status of water diversion pressure steel pipes.

[0070] Specifically, embodiments of the present invention can establish an actual wear prediction model based on the Archard wear formula or finite element simulation model to assess the remaining life. The formula can be expressed as:

[0071] ,

[0072] in, For the remaining lifetime, tmin The wall thickness safety threshold can be taken as 80% of the design wall thickness; t current This represents the current wall thickness.

[0073] It can be noted that when v=0 (no significant wear), the lifespan is calculated based on the designed service life (e.g., 50 years).

[0074] Optionally, in one embodiment of the present invention, the remaining life of the target water diversion pressure steel pipe is evaluated using an actual wear prediction model, including: predicting the future wear rate of the target water diversion pressure steel pipe at multiple monitoring points using the actual wear prediction model; and evaluating the remaining life using the future wear rate and the safe wall thickness threshold of the target water diversion pressure steel pipe.

[0075] Specifically, the embodiments of the present invention can predict the future wear rate and remaining life of the water diversion pressure steel pipe in the future operating cycle based on the actual wear prediction model established above. At the same time, by combining the real-time monitoring data of the steel pipe (such as wall thickness, operating time, water flow velocity, sediment content, etc.) and the working condition correction coefficient, the model parameters can be dynamically updated to realize the real-time assessment and prediction of the service status of the steel pipe. It can predict the wear trend and potential risks of key parts of the steel pipe in advance, and can also formulate scientific maintenance plans and maintenance strategies to improve the safety and operational reliability of the water diversion pressure steel pipe.

[0076] Optionally, in one embodiment of the present invention, estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining running time data, average water flow velocity, average sediment content, and material strength grade includes: dividing the three-dimensional image model into multiple fluid meshes; setting boundary conditions based on the multiple fluid meshes and constructing a multiphase flow model to simulate the flow of water and sediment in the target water diversion pressure steel pipe; calculating the flow field based on the multiphase flow model to obtain the flow velocity, pressure, and turbulent kinetic energy distribution in the target water diversion pressure steel pipe; injecting sediment particles into the three-dimensional image model based on the flow field to calculate the trajectory of the sediment particles and statistically analyze the impact velocity, impact angle, and frequency of the sediment particles on the pipe wall of the target water diversion pressure steel pipe; and constructing a wear prediction model by combining the impact velocity, impact angle, frequency, and sediment particle attribute information.

[0077] The following example illustrates the construction of a wear prediction model according to an embodiment of the present invention, which may include the following steps:

[0078] (1) In the embodiments of the present invention, professional software (such as ANSYS Fluent, STAR-CCM+) can be used to perform high-quality fluid mesh generation on the three-dimensional image model, especially in the near-wall region, the mesh can be refined to capture the boundary layer effect.

[0079] (2) Furthermore, the embodiments of the present invention can set boundary conditions, including but not limited to inlet flow velocity, outlet pressure, wall conditions, etc., to ensure the accuracy of simulation calculations, so that parameters such as fluid velocity, pressure distribution and shear force can truly reflect the actual operating state of the steel pipe, thereby providing a reliable calculation basis for pipe wall wear rate analysis, cavitation prediction and safety assessment.

[0080] (3) As a possible implementation method, the embodiments of the present invention select a multiphase flow model (such as the Mixture model or the Eulerian model) to simulate the flow of water and sediment.

[0081] (4) Solve the flow field based on the multiphase flow model to obtain the velocity, pressure and turbulent kinetic energy distribution at each point in the steel pipe, so as to accurately reflect the spatial structure and kinetic energy state of the water flow under actual operating conditions, and provide a basis for subsequent analysis of sediment particle movement.

[0082] (5) Based on the flow field, thousands of mud and sand particles are injected. By solving the force equations of the particles (drag, gravity, buoyancy, etc.), the motion trajectory of each particle is calculated, and the impact velocity, impact angle and frequency of the particles on the pipe wall are statistically analyzed to obtain the scouring intensity distribution of mud and sand on the wall in a local area inside the steel pipe.

[0083] (6) By statistically analyzing the effects of each particle at different locations on the steel pipe, the embodiments of the present invention can construct a wear prediction model, thereby realizing a quantitative assessment of local wear of the water diversion pressure steel pipe, and can be further used for remaining life calculation and risk analysis.

[0084] As another specific example, such as Figure 2 As shown, the specific process of the safety assessment method for the water intake pressure steel pipe of the hydropower unit according to an embodiment of the present invention is described, which may include the following steps:

[0085] In step S201, the structural parameters of the pressure steel pipe are collected, and a three-dimensional image model is constructed.

[0086] As one possible approach, embodiments of the present invention can use a laser scanner to scan the entire section of the pressure steel pipe, focusing on collecting the slope of the sloping section, the radius of curvature at the top, the turning angle, the pipe diameter change points, and the structural parameters of the expansion joint; then the scanned data is imported into 3D modeling software to generate a 1:1 scale 3D image model of the water diversion pressure steel pipe.

[0087] In step S202, monitoring points are set on the three-dimensional image model.

[0088] In embodiments of the present invention, the monitoring point setting conditions should cover the sloping section, top, transition section and easily worn area of ​​the steel pipe, and the monitoring points should be set up with a circumferential monitoring line every 2 to 3 meters along the axial direction, and the measuring points should be evenly distributed at 0.5-meter intervals. In the wall thickness wear area, the points should be arranged in a concentric circle array with a radius of 0.5 to 1 meter centered on the minimum wall thickness.

[0089] In step S203, a crawler with magnetic attraction function is manufactured, and the crawler's scanning path is set.

[0090] The embodiments of the present invention can process a crawler that integrates a magnetic suction device, an electromagnetic ultrasonic thickness gauge probe, an encoder, and a wireless transmission module, and automatically generate a crawler scanning path covering the entire pipe section through a path planning algorithm to obtain steel pipe wall thickness test data.

[0091] In step S204, the crawler scanning path and steel pipe wall thickness test data are wirelessly transmitted to the electromagnetic ultrasonic thickness gauge.

[0092] The embodiments of the present invention can utilize the wireless transmission module of the crawler to send the scanning data to the data processing terminal in real time, so as to obtain information on the change in steel pipe wall thickness in a timely manner and perform data analysis.

[0093] In step S205, the wear rate of the pressure steel pipe wall thickness is calculated by comprehensively analyzing the historical steel pipe wall thickness monitoring data.

[0094] According to the embodiments of the present invention, based on the wall thickness monitoring data obtained by the crawler multiple times at the same monitoring point, the measurement results at each moment can be denoised and time-aligned, and then the wall thickness difference within adjacent detection cycles can be calculated. Combined with the detection time interval, the wall thickness wear rate can be obtained, thereby quantifying the wear degree of the steel pipe during operation, which can serve as an important basis for subsequent life prediction and health assessment.

[0095] In step S206, the remaining service life of the pressure steel pipe is evaluated by combining data such as the actual operation, working conditions, and strength grade of the pressure steel pipe.

[0096] The embodiments of the present invention can combine data such as the actual operation of the pressure steel pipe, working parameters and material strength grade to comprehensively evaluate the current wall thickness, wear rate and stress state of each monitoring point, thereby calculating its remaining service life.

[0097] The safety assessment method for the water intake pressure steel pipe of the hydropower unit proposed in this embodiment of the invention can obtain the current wall thickness data and wall wear rate at each monitoring point based on the monitoring points deployed in the three-dimensional image model of the water intake pressure steel pipe. Combined with the operating data and material data of the steel pipe, the method can conduct a safety assessment of the target water intake pressure steel pipe. It can achieve long-term fixed-point and high-frequency monitoring, calculate the wear rate, corrosion rate and remaining life of the pipeline. It is particularly suitable for sloping sections, tops and other key parts that are difficult to detect directly. It can improve the accuracy of defect judgment and monitoring efficiency, while reducing inspection costs and ensuring the safe operation of the hydropower station.

[0098] Next, with reference to the accompanying drawings, a safety assessment device for the water intake pressure steel pipe of a hydroelectric generator unit according to an embodiment of the present invention is described.

[0099] Figure 3 This is a block diagram of the safety assessment device for the water intake pressure steel pipe of a hydroelectric generator unit according to an embodiment of the present invention.

[0100] like Figure 3 As shown, the safety assessment device 10 for the water intake pressure steel pipe of the hydropower unit includes: a construction module 100, an acquisition module 200, a calculation module 300, and an assessment module 400.

[0101] The construction module 100 is used to obtain the structural parameters of the target water intake pressure steel pipe of the hydropower unit, so as to construct a three-dimensional image model of the target water intake pressure steel pipe based on the structural parameters.

[0102] The acquisition module 200 is used to mark multiple monitoring points in the three-dimensional image model based on structural parameters and preset monitoring point settings, so as to obtain the current wall thickness data of multiple monitoring points.

[0103] The calculation module 300 is used to calculate the wall wear rate of the target water diversion pressure steel pipe based on the current wall thickness data.

[0104] The evaluation module 400 is used to combine the operating data, material data, current wall thickness data and wall wear rate of the target water diversion pressure steel pipe to obtain the safety evaluation results of the target water diversion pressure steel pipe.

[0105] Optionally, in one embodiment of the present invention, the evaluation module 400 includes: a first determining unit, a second determining unit, a third determining unit, and a generating unit.

[0106] The first determining unit is used to determine the design wall thickness of the target water diversion pressure steel pipe based on structural parameters.

[0107] The second determining unit is used to determine the safe wall thickness threshold for multiple monitoring points based on the designed wall thickness.

[0108] The third determining unit is used to determine the wall thickness safety level of multiple monitoring points based on the safe wall thickness threshold, the current wall thickness data, and the wall thickness wear rate.

[0109] The generation unit is used to perform corresponding color rendering for the monitoring points based on the wall thickness safety level, so as to generate a life assessment report of the target water diversion pressure steel pipe that meets the preset visualization conditions.

[0110] Optionally, in one embodiment of the present invention, the calculation module 300 includes: an acquisition unit and a first calculation unit.

[0111] The acquisition unit is used to acquire historical wall thickness data from multiple monitoring points.

[0112] The first calculation unit is used to perform time-series analysis on historical and current wall thickness data to calculate the wall wear rate at multiple monitoring points.

[0113] Optionally, in one embodiment of the present invention, the evaluation module 400 includes: an extraction unit, a second calculation unit, a fourth determination unit, an estimation unit, a third calculation unit, an optimization unit, and an evaluation unit.

[0114] The extraction unit is used to extract the operating time data and working condition data of the target water diversion pressure steel pipe from the operating data.

[0115] The second calculation unit is used to calculate the average water flow velocity and the average sediment content in the target water diversion pressure steel pipe based on the operating condition data.

[0116] The fourth determining unit is used to determine the material strength grade of the target water diversion pressure steel pipe based on the material data.

[0117] The estimation unit is used to estimate the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining runtime data, average flow velocity, average sediment content, and material strength grade.

[0118] The third calculation unit is used to calculate the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe.

[0119] The optimization unit is used to optimize the comprehensive wear coefficient of the pre-built wear prediction model based on the expected wear depth and the actual wear depth, so as to obtain the optimized actual wear prediction model.

[0120] The evaluation unit is used to assess the remaining life of the target water diversion pressure steel pipe using an actual wear prediction model.

[0121] Optionally, in one embodiment of the present invention, the evaluation unit includes a prediction subunit and an evaluation subunit.

[0122] The prediction subunit is used to predict the future wear rate of the target water diversion pressure steel pipe at multiple monitoring points using an actual wear prediction model.

[0123] An evaluation sub-unit is used to assess the remaining life of the steel pipe using the future wear rate and the target water pressure safety wall thickness threshold.

[0124] Optionally, in one embodiment of the present invention, the estimation unit includes: dividing sub-units, simulating sub-units, acquiring sub-units, statistical sub-units, and constructing sub-units.

[0125] The sub-unit division is used to divide the 3D image model into fluid meshes, resulting in multiple fluid meshes.

[0126] The simulation sub-element is used to set boundary conditions based on multiple fluid meshes and to build a multiphase flow model to simulate the flow of water and sediment in the target water diversion pressure steel pipe.

[0127] The sub-units are obtained to calculate the flow field based on the multiphase flow model, so as to obtain the velocity, pressure and turbulent kinetic energy distribution in the target water diversion pressure steel pipe.

[0128] The statistical sub-unit, based on the flow field, injects sediment particles into the 3D image model to calculate the trajectory of the sediment particles and statistically analyzes the impact velocity, impact angle, and frequency of the sediment particles on the pipe wall of the target water diversion pressure steel pipe.

[0129] Sub-units are constructed to combine impact velocity, impact angle, frequency, and sediment particle properties to build a wear prediction model.

[0130] It should be noted that the explanation of the above-mentioned safety assessment method embodiment for the water intake pressure steel pipe of the hydropower unit also applies to the safety assessment device for the water intake pressure steel pipe of the hydropower unit in this embodiment, and will not be repeated here.

[0131] The safety assessment device for the water intake pressure steel pipe of the hydropower unit proposed in this embodiment of the invention can obtain the current wall thickness data and wall wear rate at each monitoring point based on the monitoring points deployed in the three-dimensional image model of the water intake pressure steel pipe. Combined with the operating data and material data of the steel pipe, it can conduct a safety assessment of the target water intake pressure steel pipe. It can realize long-term fixed-point and high-frequency monitoring, calculate the wear rate, corrosion rate and remaining life of the pipeline. It is particularly suitable for sloping sections, tops and other key parts that are difficult to detect directly. It can improve the accuracy of defect judgment and monitoring efficiency, while reducing inspection costs and ensuring the safe operation of the hydropower station.

[0132] Figure 4 This is a schematic diagram of an electronic device provided in an embodiment of the present invention. The electronic device may include:

[0133] The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0134] When the processor 402 executes the program, it implements the safety assessment method for the water intake pressure steel pipe of the hydropower unit provided in the above embodiments.

[0135] Furthermore, electronic devices also include:

[0136] Communication interface 403 is used for communication between memory 401 and processor 402.

[0137] The memory 401 is used to store computer programs that can run on the processor 402.

[0138] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0139] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0140] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0141] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention.

[0142] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for safety assessment of the water intake pressure steel pipe of a hydroelectric generator.

[0143] This invention also provides a computer program product, including a computer program that can run computer instructions. When these computer instructions are executed by a processor, they implement the safety assessment method for the water intake pressure steel pipe of the hydroelectric generator provided in this invention.

[0144] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0145] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0146] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0147] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0148] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0149] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0150] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0151] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for safety assessment of the water intake pressure steel pipe of a hydroelectric generating unit, characterized in that, Includes the following steps: Obtain the structural parameters of the target water intake pressure steel pipe of the hydropower unit, and construct a three-dimensional image model of the target water intake pressure steel pipe based on the structural parameters; Based on the structural parameters and preset monitoring point setting conditions, multiple monitoring points are marked in the three-dimensional image model to obtain the current wall thickness data of the multiple monitoring points. The wall wear rate of the target water diversion pressure steel pipe is calculated based on the current wall thickness data. By combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe, the safety assessment result of the target water diversion pressure steel pipe is obtained; The step of combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe to obtain a safety assessment result includes: extracting operating time data and working condition data of the target water diversion pressure steel pipe from the operating data; calculating the average water flow velocity and average sediment content in the water flow of the target water diversion pressure steel pipe based on the working condition data; determining the material strength grade of the target water diversion pressure steel pipe based on the material data; estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the operating time data, the average water flow velocity, the average sediment content, and the material strength grade; calculating the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe; optimizing the comprehensive wear coefficient of the pre-constructed wear prediction model based on the expected wear depth and the actual wear depth to obtain an optimized actual wear prediction model; and using the actual wear prediction model to assess the remaining life of the target water diversion pressure steel pipe.

2. The safety assessment method for the water intake pressure steel pipe of a hydroelectric generating unit according to claim 1, characterized in that, The safety assessment result of the target water diversion pressure steel pipe is obtained by combining the operating data, material data, current wall thickness data, and wall wear rate of the target water diversion pressure steel pipe, including: The design wall thickness of the target water diversion pressure steel pipe is determined based on the structural parameters. Based on the designed wall thickness, determine the safe wall thickness threshold for multiple monitoring points; Based on the safe wall thickness threshold, the current wall thickness data, and the wall thickness wear rate, the wall thickness safety level of multiple monitoring points is determined; Based on the wall thickness safety level, the corresponding monitoring points are rendered with appropriate colors to generate a life assessment report of the target water diversion pressure steel pipe that meets preset visualization conditions.

3. The safety assessment method for the water intake pressure steel pipe of a hydroelectric generating unit according to claim 1, characterized in that, The calculation of the wall wear rate of the target water diversion pressure steel pipe based on the current wall thickness data includes: Obtain historical wall thickness data for multiple monitoring points; A time-series analysis is performed on the historical wall thickness data and the current wall thickness data to calculate the wall wear rate at multiple monitoring points.

4. The method according to claim 1, characterized in that, The process of evaluating the remaining life of the target water diversion pressure steel pipe using the actual wear prediction model includes: The actual wear prediction model is used to predict the future wear rate of the target water diversion pressure steel pipe at multiple monitoring points; The remaining lifespan is assessed using the future wear rate and the safe wall thickness threshold of the target water pressure steel pipe.

5. The safety assessment method for the water intake pressure steel pipe of a hydroelectric generating unit according to claim 1, characterized in that, The estimation of the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points, combining the running time data, the average water flow velocity, the average sediment content, and the material strength grade, includes: The three-dimensional image model is divided into multiple fluid meshes. Boundary conditions are set based on multiple fluid meshes, and a multiphase flow model is constructed to simulate the flow of water and sediment in the target water diversion pressure steel pipe; The flow field is calculated based on the multiphase flow model to obtain the velocity, pressure, and turbulent kinetic energy distribution in the target water diversion pressure steel pipe; Based on the flow field, sediment particles are injected into the three-dimensional image model to calculate the trajectory of the sediment particles and to statistically analyze the impact velocity, impact angle, and frequency of the sediment particles on the pipe wall of the target water diversion pressure steel pipe. The wear prediction model is constructed by combining the impact velocity, impact angle, frequency, and the property information of the sediment particles.

6. A safety assessment device for the water intake pressure steel pipe of a hydroelectric generator unit, characterized in that, Includes the following steps: A construction module is used to obtain the structural parameters of the target water intake pressure steel pipe of the hydropower unit, so as to construct a three-dimensional image model of the target water intake pressure steel pipe based on the structural parameters. The acquisition module is used to mark multiple monitoring points in the three-dimensional image model based on the structural parameters and preset monitoring point setting conditions, so as to obtain the current wall thickness data of the multiple monitoring points; The calculation module is used to calculate the wall wear rate of the target water diversion pressure steel pipe based on the current wall thickness data. The evaluation module is used to combine the operating data, material data, current wall thickness data and wall wear rate of the target water diversion pressure steel pipe to obtain the safety evaluation result of the target water diversion pressure steel pipe; The evaluation module includes: an extraction unit for extracting operating time and condition data of the target water diversion pressure steel pipe from the operating data; a second calculation unit for calculating the average water flow velocity and average sediment content in the water flow of the target water diversion pressure steel pipe based on the condition data; a fourth determination unit for determining the material strength grade of the target water diversion pressure steel pipe based on the material data; an estimation unit for estimating the expected wear depth of the target water diversion pressure steel pipe at multiple monitoring points by combining the operating time data, the average water flow velocity, the average sediment content, and the material strength grade; a third calculation unit for calculating the actual wear depth of the target water diversion pressure steel pipe at multiple monitoring points based on the current wall thickness data and the design wall thickness of the target water diversion pressure steel pipe; an optimization unit for optimizing the comprehensive wear coefficient of a pre-built wear prediction model based on the expected wear depth and the actual wear depth to obtain an optimized actual wear prediction model; and an evaluation unit for evaluating the remaining life of the target water diversion pressure steel pipe using the actual wear prediction model.

7. The safety assessment device for the water intake pressure steel pipe of a hydroelectric generator unit according to claim 6, characterized in that, The evaluation module includes: The first determining unit is used to determine the design wall thickness of the target water diversion pressure steel pipe based on the structural parameters; The second determining unit is used to determine the safe wall thickness threshold for multiple monitoring points based on the designed wall thickness. The third determining unit is used to determine the wall thickness safety level of multiple monitoring points based on the safe wall thickness threshold, the current wall thickness data, and the wall thickness wear rate; The generation unit is used to perform corresponding color rendering for the monitoring points based on the wall thickness safety level, so as to generate a life assessment report of the target water diversion pressure steel pipe that meets the preset visualization conditions.

8. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the safety assessment method for the water intake pressure steel pipe of a hydroelectric generator as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the safety assessment method for the water intake pressure steel pipe of the hydroelectric unit as described in any one of claims 1-5.

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