Tubular pile production appearance quality inspection method and system

Abstract

The invention provides a tubular pile production appearance quality inspection method and system, and relates to the technical field of tubular pile quality inspection.The method specifically comprises the steps that the temperature, appearance size and material parameters of a tubular pile are collected in real time, and a first evaluation coefficient is generated according to the collected temperature and appearance size of the tubular pile; generating a second evaluation coefficient according to the collected material parameters; constructing a quality evaluation model of the tubular pile, and calculating a quality evaluation index; and comparing the quality evaluation index with a preset quality evaluation threshold value, and generating a production appearance quality grade of the current to-be-evaluated pipe pile according to a comparison result. According to the invention, by introducing real-time data acquisition and dimensionless processing technologies, comprehensive evaluation of the appearance quality of pipe pile production is realized. By constructing the quality evaluation model and integrating the quality parameters of different dimensions, the quality evaluation index can be efficiently and accurately generated, so that the quality risk can be better controlled in production and construction links, and the overall safety and reliability of the pipe pile are improved.

Description

Technical Field

[0001] The invention relates to the technical field of pipe pile quality inspection, and in particular to a method and system for inspecting the appearance quality of pipe pile production. Background Art

[0002] In modern engineering construction, pipe piles are an important part of the infrastructure, and their quality directly affects the safety and stability of the entire building. The traditional method of inspecting the appearance quality of pipe piles mainly relies on manual visual inspection and simple dimensional measurement. Although this method can detect surface defects such as cracks and bubbles to a certain extent, it cannot fully evaluate the material properties inside the pipe piles and changes in the production environment. Especially during the production process, environmental factors such as temperature fluctuations may have a significant impact on the strength and stiffness of the pipe piles. Current inspection methods often lack real-time monitoring of these dynamic changes, resulting in the inability to identify potential quality problems during inspection, thereby affecting the overall performance and safety of the pipe piles.

[0003] In addition, the existing inspection technology usually conducts sampling inspection after the pipe piles are produced, and it is impossible to provide timely feedback on the quality status of the production process. This lag makes it difficult to detect defects in production in a timely manner, especially internal defects such as uncured materials or uneven mixtures, which are often difficult to expose in later inspections. This not only increases the safety risks of later construction of the project, but also reduces the reliability of pipe piles in long-term use. Due to the lack of systematic quality assessment standards, traditional inspection methods are unable to cope with complex multi-dimensional quality parameters. Therefore, there is an urgent need for a new method that can comprehensively consider multiple influencing factors and monitor and evaluate the appearance production quality of pipe piles in real time to ensure that the performance and safety of pipe piles meet the requirements of engineering construction.

[0004] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for inspecting the appearance quality of pipe pile production to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] The method and system for inspecting the appearance quality of pipe pile production include the following specific steps:

[0008] Step 1: real-time collection of the temperature, appearance size and material parameters of the pipe pile, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile;

[0009] Step 2: after dimensionless processing based on the collected temperature and appearance size of the pipe pile, a first evaluation coefficient is generated; after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile, a second evaluation coefficient is generated;

[0010] Step 3: Based on the first evaluation coefficient and the second evaluation coefficient, a quality evaluation index for reflecting the appearance of the pipe pile production is generated;

[0011] Step 4: Compare the quality assessment index with the preset quality assessment threshold, and generate the production appearance quality grade of the pipe pile to be assessed based on the comparison result, and formulate corresponding management and control measures according to different quality grades.

[0012] Furthermore, the process of collecting the temperature of the pipe pile is specifically as follows:

[0013] The temperature at the exit of the pile is collected in real time and compared with the preset temperature threshold. If it is greater than the preset temperature threshold, the difference between the real-time temperature of the pile and the preset temperature threshold is calculated and recorded as If the temperature is not greater than the preset temperature threshold, it will not be included in the calculation; the temperature threshold is set by the staff and ranges from 10℃ to 30℃;

[0014] The process of collecting the external dimensions of the pipe pile is specifically as follows:

[0015] Use a laser scanner to scan the surface of the pile to be evaluated, obtain three-dimensional data points, and form a point cloud map; use the measurement tools of the point cloud processing software to extract the key dimensional parameters of the pile to be evaluated, including length, diameter, and wall thickness; by selecting a specific area of ​​the point cloud, calculate the absolute difference between each key dimensional parameter and the standard value as the deviation, and record the length deviation as , and the diameter deviation is recorded as , the wall thickness deviation is recorded as , a length deviation threshold, a diameter deviation threshold and a wall thickness deviation threshold are preset. When the deviation is greater than the corresponding deviation threshold, the deviation is included in the calculation. When the deviation is not greater than the corresponding deviation threshold, it is not included in the calculation. Further, the strength data is the ratio of the steel mass and the concrete mass used in the pipe pile structure, and the stiffness data includes the average elastic modulus and the average Poisson's ratio of the steel and concrete used in the pipe pile.

[0016] The specific logic for collecting intensity data is:

[0017] Obtain the total concrete mass and total steel mass used to construct the pile to be evaluated, and generate the ratio of the steel mass to the concrete mass used in the pile structure, based on the formula:

[0018]

[0019] in, is the strength data of the pipe pile to be evaluated, is the total steel bar mass used in the pile to be evaluated, The total mass of concrete used for the piles to be assessed;

[0020] The specific logic for collecting pile stiffness data is as follows:

[0021]

[0022] in, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average elastic modulus of the steel type used in the pile to be evaluated, is the average elastic modulus of the concrete type used in the piles to be evaluated;

[0023]

[0024] in, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the average Poisson's ratio of the steel type used in the pile to be evaluated, is the average Poisson's ratio of the concrete type used in the piles to be evaluated.

[0025] Furthermore, the process of calculating the defect distance of the pipe pile to be evaluated is specifically as follows:

[0026] Drill a hole on the top of the pile to be evaluated, apply coupling agent between the sensor and the surface of the pile, and emit an ultrasonic signal. The signal propagates through the concrete medium of the pile; the ultrasonic signal will be reflected when it encounters internal defects; the sensor receives the reflected ultrasonic signal and records the reflection time of the signal , and calculate the defect distance:

[0027]

[0028] in, is the defect distance of the pile, is the speed of ultrasound in concrete, It is the total time from signal transmission to signal reception, in seconds.

[0029] Furthermore, the formula for generating the first evaluation coefficient is as follows:

[0030]

[0031] in, is the first evaluation coefficient, is the difference between the pile temperature and the temperature threshold, The preset scale factor is , , is the deviation of the length, diameter and wall thickness of the pile from the standard value, for Preset scaling factor, and , is the first constant correction exponent, and when , , , All are zero time, Not zero.

[0032] Furthermore, the second evaluation coefficient is generated according to the formula:

[0033]

[0034] in, is the second evaluation coefficient, is the strength data of the pipe pile to be evaluated, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the defect distance of the pile, is the second constant correction exponent.

[0035] Furthermore, the formula for generating the quality assessment index is as follows:

[0036]

[0037] in, is the quality assessment index, is the first evaluation coefficient, The preset scale factor is is the second evaluation coefficient, is its preset scaling factor, and , is the third constant correction exponent.

[0038] Furthermore, the process of generating the production appearance quality grade of the pipe pile to be evaluated is specifically as follows:

[0039] Quality Assessment Index and preset quality assessment thresholds Compare and generate the production appearance quality grade of the pipe pile to be evaluated according to the comparison results:

[0040] when When the appearance quality of the current pipe pile is judged to be at a high risk level, the use of the pipe pile is stopped, detailed non-destructive monitoring is carried out, and the pile is repaired;

[0041] when When determining the current appearance quality of pipe pile production at a medium risk level, analyze the impact of pipe piles on the overall structure, conduct stress analysis, consider local repair and reinforcement measures, and formulate a maintenance plan;

[0042] when When the quality of the current appearance of the pipe pile production is judged to be at a low risk level, the pipe pile is allowed to continue to be used normally, and a plan for regular inspection is formulated and the quality assessment index is updated;

[0043] in, is the quality assessment index, is the quality assessment threshold.

[0044] The present invention further provides a system for inspecting the appearance quality of pipe pile production, which is used to execute the above-mentioned method for inspecting the appearance quality of pipe pile production, and comprises:

[0045] The data acquisition module collects the temperature, appearance size and material parameters of the pipe pile in real time, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile;

[0046] The data processing module generates a first evaluation coefficient after dimensionless processing based on the collected temperature and appearance dimensions of the pipe pile; generates a second evaluation coefficient after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile;

[0047] A quality assessment module, based on the first assessment coefficient and the second assessment coefficient, generates a quality assessment index for reflecting the appearance of the pipe pile production;

[0048] The comprehensive analysis module compares the quality assessment index with the preset quality assessment threshold, generates the production appearance quality grade of the pipe pile to be assessed based on the comparison result, and formulates corresponding management and control measures according to different quality grades.

[0049] Compared with the prior art, the present invention has the following beneficial effects:

[0050] The present invention achieves a comprehensive evaluation of the appearance quality of pipe pile production by introducing real-time data collection and dimensionless processing technology. By building a quality evaluation model and integrating quality parameters of different dimensions, the quality evaluation index can be generated efficiently and accurately. This solution not only improves the inspection efficiency, but also ensures the comprehensiveness and scientificity of quality evaluation, so that the production and construction links can better control quality risks, thereby improving the overall safety and reliability of pipe piles. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0052] Figure 2 It is a schematic diagram of the overall system module of the present invention. DETAILED DESCRIPTION

[0053] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0054] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0055] Example:

[0056] See also Figure 1 , the present invention provides a technical solution:

[0057] The method for inspecting the appearance quality of pipe pile production includes the following specific steps:

[0058] Step 1: real-time collection of the temperature, appearance size and material parameters of the pipe pile, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile;

[0059] In this embodiment, the process of collecting the temperature of the pipe pile is specifically as follows:

[0060] The temperature at the exit of the pile is collected in real time and compared with the preset temperature threshold. If it is greater than the preset temperature threshold, the difference between the real-time temperature of the pile and the preset temperature threshold is calculated and recorded as If the temperature is not greater than the preset temperature threshold, it will not be included in the calculation; the temperature threshold is set by the staff and ranges from 10℃ to 30℃;

[0061] The process of collecting the external dimensions of the pipe pile is specifically as follows:

[0062] Use a laser scanner to scan the surface of the pile to be evaluated, obtain three-dimensional data points, and form a point cloud map; use the measurement tools of the point cloud processing software to extract the key dimensional parameters of the pile to be evaluated, including length, diameter, and wall thickness; by selecting a specific area of ​​the point cloud, calculate the absolute difference between each key dimensional parameter and the standard value as the deviation, and record the length deviation as , and the diameter deviation is recorded as , the wall thickness deviation is recorded as , preset length deviation threshold, diameter deviation threshold and wall thickness deviation threshold. When the deviation is greater than the corresponding deviation threshold, the deviation is included in the calculation. When the deviation is not greater than the corresponding deviation threshold, it is not included in the calculation. The length deviation threshold, diameter deviation threshold and wall thickness deviation threshold are set by the staff, and the ranges are: 30mm-50mm, 18mm-30mm and 1mm-3mm respectively.

[0063] The strength data is the ratio of the mass of steel bars and the mass of concrete used in the pipe pile structure, and the stiffness data includes the average elastic modulus and average Poisson's ratio of the steel and concrete used in the pipe pile;

[0064] The specific logic for collecting intensity data is:

[0065] Obtain the total concrete mass and total steel mass used to construct the pile to be evaluated, and generate the ratio of the steel mass to the concrete mass used in the pile structure, based on the formula:

[0066]

[0067] in, is the strength data of the pipe pile to be evaluated, is the total steel bar mass used in the pile to be evaluated, The total mass of concrete used for the piles to be assessed;

[0068] The specific logic for collecting pile stiffness data is as follows:

[0069]

[0070] in, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average elastic modulus of the steel type used in the pile to be evaluated, The average elastic modulus of the concrete type used in the evaluated piles. The larger the elastic modulus, the higher the stiffness of the material when subjected to stress, that is, the smaller the strain under unit stress. In the pile structure, the selection of materials with high elastic modulus can increase the overall stiffness of the pile.

[0071]

[0072] in, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the average Poisson's ratio of the steel type used in the pile to be evaluated, The average Poisson's ratio of the concrete type used in the evaluated pile. The smaller the Poisson's ratio, the smaller the lateral strain of the material when subjected to stress, and the correspondingly larger the longitudinal strain. In the pile structure, the smaller the Poisson's ratio of the material, the more it tends to maintain its shape when subjected to stress, and is not easily deformed, which can increase the overall stiffness of the pile.

[0073] The quality of the steel bars and concrete used in the pipe piles can be obtained by referring to the design documents and structural design drawings of the pipe piles, and the elastic modulus and Poisson's ratio of the steel and concrete used can be obtained by referring to the material manual and database.

[0074] The process of calculating the defect distance of the pipe pile to be evaluated is specifically as follows:

[0075] Drill a hole on the top of the pile to be evaluated, apply coupling agent between the sensor and the surface of the pile, and emit an ultrasonic signal. The signal propagates through the concrete medium of the pile; the ultrasonic signal will be reflected when it encounters internal defects; the sensor receives the reflected ultrasonic signal and records the reflection time of the signal , and calculate the defect distance:

[0076]

[0077] in, is the defect distance of the pile, which is used to indicate the specific position of the internal defect of the pile relative to the sensor. is the speed of ultrasound in concrete. The specific value needs to be adjusted according to the material properties. It is the total time from signal transmission to signal reception, in seconds.

[0078] Compared with existing technologies, traditional methods usually rely on static inspection and manual judgment, lacking the support of real-time data. This leads to a lag in the evaluation of the appearance quality of pipe piles, making it difficult to reflect the actual situation in the production process. Real-time acquisition technology can provide instant feedback, reduce the subjectivity and errors of manual inspection, and improve the effectiveness and reliability of quality control.

[0079] In this patent solution, the use of real-time data collection steps can greatly promote the implementation of the overall solution. By establishing a dynamic data monitoring system, it is possible to fully control the quality of pipe pile production, thereby improving the accuracy of quality assessment. This process not only optimizes the production process, but also provides a basis for subsequent data analysis and quality prediction, forming a closed-loop control system and effectively reducing engineering risks.

[0080] Step 2: after dimensionless processing based on the collected temperature and appearance size of the pipe pile, a first evaluation coefficient is generated; after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile, a second evaluation coefficient is generated;

[0081] In this embodiment, the formula for generating the first evaluation coefficient is as follows:

[0082]

[0083] in, is the first evaluation coefficient, is the difference between the pile temperature and the temperature threshold, The preset scale factor is , , is the deviation of the length, diameter and wall thickness of the pile from the standard value, for Preset scaling factor, and This is because the external dimensions of the pile are directly related to its installation and bearing capacity. Dimensional deviations may lead to adaptation problems during the piling process, affecting the stability and safety of the overall structure. is the first constant correction exponent, and when , , , All are zero time, Not zero. , , , When it increases, it means that the difference between the relevant parameters of the pile and the standard value increases, and the first evaluation coefficient Increase; that is, , , , and There is a positive correlation.

[0084] The formula for generating the second evaluation coefficient is as follows:

[0085]

[0086] in, is the second evaluation coefficient, is the strength data of the pipe pile to be evaluated, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the defect distance of the pile, is the second constant correction exponent. or When it increases, it means that the strength of the pile and the elastic modulus of the material used in the pile increase. The stiffness of the material under stress is higher, that is, the strain under unit stress is smaller, so the second evaluation coefficient Increase; when When it increases, it means that the Poisson's ratio of the material is larger, which means that it is more likely to deform when subjected to force, so Reduce; when the defect distance When it increases, it may mean that the scope and scale of the defects are larger and more widely distributed along the depth or length of the pile, thereby increasing the risk of pile failure. correspondingly decreases; that is, , With the second evaluation coefficient There is a positive correlation, , With the second evaluation coefficient There is a negative correlation.

[0087] Step 3: Based on the first evaluation coefficient and the second evaluation coefficient, a quality evaluation index for reflecting the appearance of the pipe pile production is generated;

[0088] In this embodiment, the formula for generating the quality evaluation index is as follows:

[0089]

[0090] in, is the quality assessment index, is the first evaluation coefficient, The preset scale factor is is the second evaluation coefficient, is its preset scaling factor, and This is because in many projects, the bearing capacity and stability of the structure are the most important, so the second evaluation coefficient often has a greater weight in the quality assessment. is the third constant correction exponent; when the first evaluation coefficient When it increases, the quality assessment index decrease; when the second evaluation coefficient When increasing, Increase; that is, and Negatively correlated, and There is a positive correlation.

[0091] Step 4: Compare the quality assessment index with the preset quality assessment threshold, and generate the production appearance quality grade of the pipe pile to be assessed according to the comparison result, and formulate corresponding management and control measures according to different quality grades;

[0092] In this embodiment, the process of generating the production appearance quality grade of the pipe pile to be evaluated is specifically as follows:

[0093] Quality Assessment Index and preset quality assessment thresholds Compare and generate the production appearance quality grade of the pipe pile to be evaluated according to the comparison results:

[0094] when When the appearance quality of the current pipe pile is judged to be at a high risk level, the use of the pipe pile is stopped, detailed non-destructive monitoring is carried out, and the pile is repaired;

[0095] when When determining the current appearance quality of pipe pile production at a medium risk level, analyze the impact of pipe piles on the overall structure, conduct stress analysis, consider local repair and reinforcement measures, and formulate a maintenance plan;

[0096] when When the quality of the current appearance of the pipe pile production is judged to be at a low risk level, the pipe pile is allowed to continue to be used normally, and a plan for regular inspection is formulated and the quality assessment index is updated;

[0097] in, is the quality assessment index, is the quality assessment threshold, which is obtained by the expert group.

[0098] By comparing the quality assessment index with the preset quality assessment threshold, the appearance quality of pipe piles can be systematically evaluated, which helps to quickly identify and manage pipe piles with different quality levels, thereby facilitating subsequent decision-making and processing.

[0099] See also Figure 2 The present invention also provides a system for inspecting the appearance quality of pipe pile production, comprising:

[0100] The data acquisition module collects the temperature, appearance size and material parameters of the pipe pile in real time, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile;

[0101] The data processing module generates a first evaluation coefficient after dimensionless processing based on the collected temperature and appearance dimensions of the pipe pile; generates a second evaluation coefficient after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile;

[0102] A quality assessment module, based on the first assessment coefficient and the second assessment coefficient, generates a quality assessment index for reflecting the appearance of the pipe pile production;

[0103] The comprehensive analysis module compares the quality assessment index with the preset quality assessment threshold, generates the production appearance quality grade of the pipe pile to be assessed based on the comparison results, and formulates corresponding management and control measures based on different quality grades.

[0104] In the formula , , ,and The specific value of is generally determined by those skilled in the art according to actual conditions. The technicians in this field collect multiple groups of sample data, set corresponding preset proportional coefficients for each group of sample data, substitute the preset proportional coefficients and the collected sample data into the formula, observe the accuracy of the model output and the rationality of the results through repeated experiments and parameter adjustments, gradually adjust these factor coefficients, and compare the performance and effect of the model under different parameter settings to find the optimal coefficient combination, screen the calculated factor coefficients and take the average, and obtain , , ,and The value of .

[0105] In addition, the size of the preset factor coefficient is to quantify each parameter to obtain a specific value. In order to facilitate subsequent comparison, the size of the coefficient depends on the amount of sample data and the preset proportional coefficient initially set by technical personnel in this field for each set of sample data. It is not unique as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0106] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0107] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0108] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0109] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. The method for inspecting the appearance quality of pipe pile production is characterized by: The specific steps include: Step 1: real-time collection of the temperature, appearance size and material parameters of the pipe pile, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile; Step 2: after dimensionless processing based on the collected temperature and appearance size of the pipe pile, a first evaluation coefficient is generated; after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile, a second evaluation coefficient is generated; Step 3: Based on the first evaluation coefficient and the second evaluation coefficient, a quality evaluation index for reflecting the appearance of the pipe pile production is generated; Step 4: Compare the quality assessment index with the preset quality assessment threshold, and generate the production appearance quality grade of the pipe pile to be assessed based on the comparison result, and formulate corresponding management and control measures according to different quality grades.

2. The method for inspecting the appearance quality of pipe pile production according to claim 1, characterized in that: The process of collecting the temperature of the pipe pile is specifically as follows: The temperature at the exit of the pile is collected in real time and compared with the preset temperature threshold. If it is greater than the preset temperature threshold, the difference between the real-time temperature of the pile and the preset temperature threshold is calculated and recorded as , if it is not greater than the preset temperature threshold, it will not be included in the calculation; The process of collecting the external dimensions of the pipe pile is specifically as follows: Use a laser scanner to scan the surface of the pile to be evaluated, obtain three-dimensional data points, and form a point cloud map; use the measurement tools of the point cloud processing software to extract the key dimensional parameters of the pile to be evaluated, including length, diameter, and wall thickness; by selecting a specific area of ​​the point cloud, calculate the absolute difference between each key dimensional parameter and the standard value as the deviation, and record the length deviation as , and the diameter deviation is recorded as , the wall thickness deviation is recorded as , preset length deviation threshold, diameter deviation threshold and wall thickness deviation threshold. When the deviation is greater than the corresponding deviation threshold, the deviation is included in the calculation. When the deviation is not greater than the corresponding deviation threshold, it is not included in the calculation.

3. The method for inspecting the appearance quality of pipe pile production according to claim 1, characterized in that: The strength data is the ratio of the mass of steel bars and the mass of concrete used in the pipe pile structure, and the stiffness data includes the average elastic modulus and average Poisson's ratio of the steel and concrete used in the pipe pile; The specific logic for collecting intensity data is: Obtain the total concrete mass and total steel mass used to construct the pile to be evaluated, and generate the ratio of the steel mass to the concrete mass used in the pile structure, based on the formula: in, is the strength data of the pipe pile to be evaluated, is the total steel bar mass used in the pile to be evaluated, The total mass of concrete used for the piles to be assessed; The specific logic for collecting pile stiffness data is as follows: in, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average elastic modulus of the steel type used in the pile to be evaluated, is the average elastic modulus of the concrete type used in the piles to be evaluated; in, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the average Poisson's ratio of the steel type used in the pile to be evaluated, is the average Poisson's ratio of the concrete type used in the piles to be evaluated.

4. The method for inspecting the appearance quality of pipe pile production according to claim 1, characterized in that: The process of calculating the defect distance of the pipe pile to be evaluated is specifically as follows: Drill a hole on the top of the pile to be evaluated, apply coupling agent between the sensor and the surface of the pile, and emit an ultrasonic signal. The signal propagates through the concrete medium of the pile; the ultrasonic signal will be reflected when it encounters internal defects; the sensor receives the reflected ultrasonic signal and records the reflection time of the signal , and calculate the defect distance: in, is the defect distance of the pile, is the speed of ultrasound in concrete, It is the total time from signal transmission to signal reception, in seconds.

5. The method for inspecting the appearance quality of pipe pile production according to claim 2, characterized in that: The formula for generating the first evaluation coefficient is as follows: in, is the first evaluation coefficient, is the difference between the pile temperature and the temperature threshold, The preset scale factor is , , is the deviation of the length, diameter and wall thickness of the pile from the standard value, for Preset scaling factor, and , is the first constant correction exponent, and when , , , All are zero time, Not zero.

6. The method for inspecting the appearance quality of pipe pile production according to claim 3, characterized in that: The formula for generating the second evaluation coefficient is as follows: in, is the second evaluation coefficient, is the strength data of the pipe pile to be evaluated, is the average elastic modulus of the steel and concrete used in the piles to be evaluated, is the average Poisson's ratio of the steel and concrete used in the evaluated piles, is the defect distance of the pile, is the second constant correction exponent.

7. The method for inspecting the appearance quality of pipe pile production according to claim 1, characterized in that: The generation quality assessment index is based on the formula: in, is the quality assessment index, is the first evaluation coefficient, The preset scale factor is is the second evaluation coefficient, is its preset scaling factor, and , is the third constant correction exponent.

8. The method for inspecting the appearance quality of pipe pile production according to claim 7, characterized in that: The process of generating the production appearance quality grade of the pipe pile to be evaluated is specifically as follows: Quality Assessment Index and preset quality assessment thresholds Compare and generate the production appearance quality grade of the pipe pile to be evaluated according to the comparison results: when When the appearance quality of the current pipe pile is judged to be at a high risk level, the use of the pipe pile is stopped, detailed non-destructive monitoring is carried out, and the pile is repaired; when When determining the current appearance quality of pipe pile production at a medium risk level, analyze the impact of pipe piles on the overall structure, conduct stress analysis, consider local repair and reinforcement measures, and formulate a maintenance plan; when When the quality of the current appearance of the pipe pile production is judged to be at a low risk level, the pipe pile is allowed to continue to be used normally, and a plan for regular inspection is formulated and the quality assessment index is updated; in, is the quality assessment index, is the quality assessment threshold.

9. The appearance quality inspection system for pipe pile production is characterized by: The pipe pile production appearance quality inspection system is used to execute the pipe pile production appearance quality inspection method according to any one of claims 1 to 8, comprising: The data acquisition module collects the temperature, appearance size and material parameters of the pipe pile in real time, wherein the material parameters are the strength data, stiffness data and defect distance of the pipe pile; The data processing module generates a first evaluation coefficient after dimensionless processing based on the collected temperature and appearance dimensions of the pipe pile; generates a second evaluation coefficient after dimensionless processing based on the collected strength data, stiffness data and defect distance of the pipe pile; A quality assessment module, based on the first assessment coefficient and the second assessment coefficient, generates a quality assessment index for reflecting the appearance of the pipe pile production; The comprehensive analysis module compares the quality assessment index with the preset quality assessment threshold, generates the production appearance quality grade of the pipe pile to be assessed based on the comparison results, and formulates corresponding management and control measures based on different quality grades.

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