Liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system

Abstract

The invention belongs to the field of liquid storage tank measurement, and provides a liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system, which comprises a data acquisition module, a three-dimensional modeling module, a volume calculation module and a wall thickness measurement correction module, the system comprises a data acquisition module, a three-dimensional modeling module, a volume calculation module and a volume calculation module, the data acquisition module is used for acquiring external contour and internal wall thickness data of the storage tank, the three-dimensional modeling module is used for constructing a three-dimensional geometric model of the liquid storage tank according to data provided by the data acquisition module, and the volume calculation module is used for performing volume calculation on the three-dimensional geometric model by adopting an integral algorithm. The liquid storage tank volume and wall thickness measuring system has the advantages that volume calculation is performed by the aid of integral algorithms, wall thickness is adjusted by the aid of wall thickness correction coefficients, the volume and wall thickness measuring precision is effectively improved, an error report can be generated by the error analysis module, reliable data support is provided for management and maintenance of the liquid storage tank, and working efficiency and safety are evidently improved.

Description

Technical Field

[0001] The invention belongs to the field of liquid storage tank measurement, in particular to a three-dimensional modeling volume calculation and wall thickness measurement correction system for liquid storage tanks. Background Art

[0002] In the management and maintenance of liquid storage tanks, it is crucial to accurately measure the volume and wall thickness of the tanks. However, traditional measurement methods often have many shortcomings. For example, for the measurement of tank volume, traditional methods mostly rely on manual measurement and calculation, which is not only time-consuming and labor-intensive, but also prone to human errors. For the measurement of tank wall thickness, it may be affected by many factors such as material properties, surface conditions, and the accuracy of the measuring equipment, resulting in inaccurate measurement results.

[0003] In particular, in some liquid storage tanks with complex shapes, traditional measurement methods are even more inadequate. Due to the irregular shape of the tank, it is difficult for traditional manual measurement methods to accurately capture the external contour and internal structure of the tank, resulting in large errors in volume calculation and wall thickness measurement, which not only affects the storage efficiency and safety of the tank, but may also cause unnecessary losses to production operations.

[0004] To this end, those skilled in the art have proposed a three-dimensional modeling volume calculation and wall thickness measurement correction system for liquid storage tanks to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a liquid storage tank three-dimensional modeling volume solution and wall thickness measurement correction system to solve the problems existing in the prior art.

[0006] A three-dimensional modeling volume calculation and wall thickness measurement correction system for a liquid storage tank, comprising a data acquisition module for acquiring external contour data and internal wall thickness data of the liquid storage tank;

[0007] A three-dimensional modeling module, used to construct a three-dimensional geometric model of the liquid storage tank according to the data provided by the data acquisition module;

[0008] The volume calculation module is used to calculate the volume of the three-dimensional geometric model using an integral algorithm. The integral algorithm formula is: V = ∫∫∫ D dxdydz, where V is the volume of the tank and D is the three-dimensional space domain of the tank;

[0009] The wall thickness measurement correction module is used to adjust the wall thickness of the three-dimensional geometric model according to the internal wall thickness data and the preset wall thickness correction coefficient k. The correction formula is: 修正 =T 测量 ×k, where T 修正 is the corrected wall thickness, T 测量is the measured wall thickness, k is the correction factor;

[0010] An error analysis module, used to perform error evaluation on the volume solution result and the wall thickness correction result, and generate an error report;

[0011] The user interface module is used to display the three-dimensional geometric model, volume solution results, wall thickness correction results and error reports.

[0012] Preferably, the data acquisition module includes:

[0013] The photogrammetry unit is used to scan the outer surface of the liquid storage tank to obtain its external contour data. The scanning algorithm used by the photogrammetry unit is the polar coordinate scanning method, and the formula is: Where r is the distance, θ is the angle, z is the height, and x and y are the coordinates of the point on the tank surface on the two-dimensional plane;

[0014] The ultrasonic thickness measuring unit is used to measure the wall thickness data of the liquid storage tank. The ultrasonic thickness measuring unit adopts the time difference measurement method. The formula is Where S 测量 is the round trip time of ultrasound, d is the wall thickness, and c is the propagation speed of ultrasound in the medium.

[0015] Preferably, the data preprocessing submodule is used to denoise and smooth the data provided by the data acquisition module, and the denoising algorithm adopts a median filtering method, and the formula is y(i,j)=median{x(ik,j),...,x(i+k,j)}, where y(i,j) is the denoised data, x(i,j) is the original data, and k is the filter window size.

[0016] Preferably, the volume solving module further includes a piecewise integration submodule, which is used to divide the three-dimensional geometric model into a plurality of simple geometric bodies, calculate the volume of each geometric body respectively and then sum them up. The volume calculation formula of the cylinder is V 圆柱 =πr 2 h, where r is the radius of the base and h is the height. The volume calculation formula for a cone is:

[0017] Preferably, the wall thickness measurement correction module also includes a wall thickness history database for storing wall thickness measurement data in different time periods and corresponding correction coefficient k values. The updating algorithm of the correction coefficient k adopts a linear regression method, and the formula is k 新 =k 旧 +a·(T 真实 -T 预测 ), where k 新 is the updated correction coefficient, k 旧 is the old correction coefficient, α is the learning rate, T 真实is the actual measured wall thickness, T 预测 is the predicted wall thickness based on the old correction factor.

[0018] Preferably, the error analysis module further includes a Monte Carlo simulation submodule, which is used to simulate the volume solution and wall thickness correction results multiple times by random sampling method, evaluate the stability and uncertainty of the results, and obtain the standard deviation; the error evaluation formula of the Monte Carlo simulation is: Where σ is the standard deviation, N is the number of simulations, and X i is the result of each simulation, and μ is the average value of the simulation results.

[0019] Preferably, the system further comprises a data storage module for storing the three-dimensional geometric model, volume solution results, wall thickness correction results, error reports and all intermediate processing data, and the data storage adopts a distributed storage architecture.

[0020] Preferably, the user interface module further comprises:

[0021] An interactive control unit, used to receive the viewing angle, zoom ratio and color scheme of the three-dimensional geometric model adjusted by the user through a graphical interface, and to set the value of the wall thickness correction coefficient k;

[0022] The viewing angle adjustment unit is used to adjust the viewing angle. The viewing angle adjustment adopts the quaternion rotation algorithm. The formula is: Where q is a quaternion, θ is the rotation angle, and v is the unit vector in the direction of the rotation axis.

[0023] Preferably, the system further comprises a calibration module, which is executed by a calibration controller and regularly calibrates the data acquisition module, the three-dimensional modeling module, the volume solution module and the wall thickness measurement correction module. The calibration algorithm adopts the least squares method, and the formula is: where y i is the actual measured value, is the predicted value after calibration, and n is the number of calibration points.

[0024] Preferably, the system further comprises an adaptive learning module, which is executed by the machine learning server, and continuously optimizes the determination process of the wall thickness correction coefficient k through machine learning technology to improve the accuracy and efficiency of wall thickness correction. The adaptive learning module adopts the gradient descent method, and the formula is: where θ j is the current parameter value, θ j+1 is the updated parameter value, α is the learning rate, and J(θ) is the cost function.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] The present invention obtains the external contour and internal wall thickness data of the storage tank through the data acquisition module, uses the 3D modeling module to build an accurate 3D geometric model, and adopts the integral algorithm to calculate the volume and the wall thickness correction coefficient to adjust the wall thickness, which effectively improves the measurement accuracy of the volume and wall thickness. At the same time, the error analysis module can generate an error report, which provides reliable data support for the management and maintenance of liquid storage tanks and significantly improves work efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is the module block diagram of the data acquisition module in this system.

[0028] Figure 2 This is a schematic diagram of the structure between the modules in this system. DETAILED DESCRIPTION

[0029] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] Embodiment 1: As shown in the attached Figure 1 As shown in the figure: The present invention provides a three-dimensional modeling volume calculation and wall thickness measurement correction system for a liquid storage tank, including a data acquisition module for acquiring external contour data and internal wall thickness data of the liquid storage tank;

[0031] A three-dimensional modeling module, which constructs a three-dimensional geometric model of the liquid storage tank according to the data provided by the data acquisition module;

[0032] The volume calculation module uses an integral algorithm to calculate the volume of the three-dimensional geometric model. The integral algorithm formula is: V = ∫∫∫ D dxdydz, where V is the volume of the tank and D is the three-dimensional space domain of the tank;

[0033] The wall thickness measurement correction module adjusts the wall thickness of the three-dimensional geometric model according to the internal wall thickness data and the preset wall thickness correction coefficient k. The correction formula is: 修正 =T 测量 ×k, where T 修正 is the corrected wall thickness, T 测量 is the measured wall thickness, k is the correction factor;

[0034] An error analysis module performs error evaluation on the volume solution result and the wall thickness correction result, and generates an error report;

[0035] The user interface module is used to display the three-dimensional geometric model, volume solution results, wall thickness correction results and error reports.

[0036] Preferably, the data acquisition module further includes a photogrammetry unit for scanning the outer surface of the liquid storage tank to obtain its external contour data. The scanning algorithm used by the photogrammetry unit is a polar coordinate scanning method, and the formula is: Where r is the distance, θ is the angle, z is the height, and x and y are the coordinates of the point on the tank surface on the two-dimensional plane;

[0037] It also includes an ultrasonic thickness measuring unit, which is driven by the controller and is used to measure the wall thickness data of the liquid storage tank. The ultrasonic thickness measuring unit adopts a time difference measurement method, and the formula is: Where S 测量 is the ultrasonic round trip time, d is the wall thickness, and c is the propagation speed of ultrasonic waves in the medium. This module is responsible for obtaining the external contour data and internal wall thickness data of the liquid storage tank. Compared with the existing technology, this module adopts a combination of photogrammetry unit and ultrasonic thickness measurement unit to achieve efficient and accurate data acquisition. The photogrammetry unit uses polar coordinate scanning method to capture the external contour of the storage tank comprehensively and quickly, while the ultrasonic thickness measurement unit uses time difference measurement method to accurately measure the wall thickness of the storage tank. This data acquisition method effectively avoids the time-consuming and labor-intensive traditional manual measurement and human errors, and provides a reliable data basis for subsequent three-dimensional modeling and volume solution. Its beneficial effect is to improve the accuracy and efficiency of data acquisition, and provide a guarantee for the accuracy of subsequent steps.

[0038] Preferably, the data preprocessing submodule is executed by the server, and performs denoising and smoothing on the data provided by the data acquisition module to improve the modeling accuracy. The denoising algorithm adopts the median filtering method, and the formula is y(i,j)=median{x(ik,j),...,x(i+k,j)}, where y(i,j) is the denoised data, x(i,j) is the original data, and k is the filter window size. The module constructs a three-dimensional geometric model of the liquid storage tank based on the data provided by the data acquisition module. The present invention adopts advanced three-dimensional modeling technology, which can accurately restore the complex shape and internal structure of the storage tank. This accurate three-dimensional model provides an intuitive visual reference for volume solution and wall thickness measurement correction, and also facilitates subsequent error analysis and maintenance management. Its beneficial effect is to improve the accuracy and practicality of three-dimensional modeling, and provide strong support for the smooth progress of subsequent steps.

[0039] From the above, it can be seen that the liquid storage tank three-dimensional modeling volume solution and wall thickness measurement correction system provided by the present invention integrates functional modules such as data acquisition, three-dimensional modeling, volume solution, wall thickness measurement correction, error analysis and user interface display, and realizes the accurate measurement and correction of storage tank volume and wall thickness, which significantly improves the measurement accuracy and work efficiency.

[0040] Embodiment 2: As shown in the attached Figure 1As shown: This embodiment is basically the same as the previous embodiment, except that the volume solution module also includes a piecewise integration submodule, which is executed by the server and divides the three-dimensional geometric model into multiple simple geometric bodies, such as cylinders, cones, etc., and calculates the volume of each geometric body and then sums them up. The volume calculation formula of the cylinder is V 圆柱 =πr 2 h, where r is the radius of the base and h is the height. The volume calculation formula for a cone is: The volume calculation module also includes a piecewise integration submodule. This submodule divides the three-dimensional geometric model into multiple simple geometric bodies (such as cylinders, cones, etc.), calculates the volume of each geometric body and then sums them up to obtain the total volume of the storage tank. Compared with the traditional integration algorithm, this method can more efficiently handle the volume calculation problem of complex-shaped storage tanks. The beneficial effect of the present invention is that the efficiency and accuracy of volume calculation are improved, and more reliable data support is provided for the management and maintenance of storage tanks.

[0041] Preferably, the wall thickness measurement correction module also includes a wall thickness history database stored in the server for storing wall thickness measurement data in different time periods and corresponding correction coefficient k values. The updating algorithm of the correction coefficient k adopts a linear regression method, and the formula is k 新 =k 旧 +a·(T 真实 -T 预测 ), where k 新 is the updated correction coefficient, k 旧 is the old correction coefficient, α is the learning rate, T 真实 is the actual measured wall thickness, T 预测 In order to predict the wall thickness based on the old correction coefficient, the wall thickness measurement correction module also includes a wall thickness history database, which stores the wall thickness measurement data in different time periods and the corresponding correction coefficient k value. By updating the correction coefficient k by the linear regression method, the wall thickness correction process can be continuously optimized and the accuracy of the correction can be improved. Compared with the prior art, the beneficial effect of this claim is that through the accumulation and analysis of historical data, the wall thickness correction process is continuously optimized, thereby improving the accuracy and reliability of the overall solution.

[0042] Furthermore, the error analysis module also includes a Monte Carlo simulation submodule, which is executed by a high-performance computing server and simulates the volume solution and wall thickness correction results multiple times by random sampling method to evaluate the stability and uncertainty of the results. The error evaluation formula of the Monte Carlo simulation is: Where σ is the standard deviation, N is the number of simulations, and X iis the result of each simulation, μ is the average value of the simulation results. This submodule simulates the volume solution and wall thickness correction results multiple times through random sampling method to evaluate the stability and uncertainty of the results. This method can more comprehensively understand the error of the results and provide a more reliable basis for decision-making. The present invention improves the accuracy and comprehensiveness of error analysis through Monte Carlo simulation, and provides strong support for the optimization of the overall solution.

[0043] From the above, it can be seen that the piecewise integration sub-module improves the accuracy of volume calculation by dividing the three-dimensional geometric model into simple geometric bodies for summation; the wall thickness measurement correction module dynamically adjusts the correction coefficient by combining the wall thickness history database and linear regression method, thereby optimizing the wall thickness correction process; the Monte Carlo simulation sub-module effectively evaluates the stability and uncertainty of the volume solution and wall thickness correction results through multiple simulations using a random sampling method, thereby improving the accuracy and reliability of the system as a whole.

[0044] Embodiment 3: As shown in the attached Figure 1 To Attachment Figure 2 As shown: On the basis of Example 1, the system also includes a data storage module, which is stored on an independent database server and is used to store the three-dimensional geometric model, volume solution results, wall thickness correction results, error reports and all intermediate processing data. The data storage adopts a distributed storage architecture to ensure the security and scalability of the data. The module adopts a distributed storage architecture to store the three-dimensional geometric model, volume solution results, wall thickness correction results, error reports and all intermediate processing data. This storage method ensures the security and scalability of the data, and provides a strong guarantee for the long-term stable operation of the system. Through distributed storage, the security and scalability of the data are improved, and more reliable data support is provided for the implementation of the overall solution.

[0045] Preferably, the user interface module also includes an interactive control unit, which is implemented by an application on a mobile phone or tablet computer, allowing the user to adjust the viewing angle, scaling and color scheme of the three-dimensional geometric model through a graphical interface, and set the value of the wall thickness correction coefficient k. The viewing angle adjustment adopts a quaternion rotation algorithm, and the formula is: Wherein q is a quaternion, θ is a rotation angle, and v is a unit vector in the direction of the rotation axis. This unit allows the user to adjust the viewing angle, scaling ratio, and color scheme of the three-dimensional geometric model through a graphical interface, as well as to set the value of the wall thickness correction coefficient k. This interactive method enables the user to understand the situation of the storage tank more intuitively and make adjustments as needed. The present invention improves the friendliness and interactivity of the user interface, allowing the user to operate and use the system more conveniently.

[0046] Furthermore, the system also includes a calibration module, which is executed by the calibration controller to regularly calibrate the data acquisition module, the three-dimensional modeling module, the volume solution module and the wall thickness measurement correction module to ensure the accuracy of the system. The calibration algorithm adopts the least squares method, and the formula is where y i is the actual measured value, is the predicted value after calibration, and n is the number of calibration points. This module regularly calibrates the data acquisition module, 3D modeling module, volume solution module and wall thickness measurement correction module to ensure the accuracy of the system. Calibration through the least squares method can further improve the accuracy and reliability of the system. Regular calibration ensures the long-term stability and accuracy of the system, providing a strong guarantee for the implementation of the overall solution.

[0047] Specifically, the system also includes an adaptive learning module, which is executed by the machine learning server, and continuously optimizes the determination process of the wall thickness correction coefficient k through machine learning technology to improve the accuracy and efficiency of wall thickness correction. The adaptive learning module adopts the gradient descent method, and the formula is: where θ j is the current parameter value, θ j+1 is the updated parameter value, α is the learning rate, and J(θ) is the cost function. The algorithm continuously optimizes the determination process of the wall thickness correction coefficient k through machine learning technology, improves the accuracy and efficiency of wall thickness correction, and uses the gradient descent method to update parameters, which can continuously approach the optimal solution. Through the adaptive learning module, the wall thickness correction process is continuously optimized, which improves the intelligence and automation of the overall solution. This optimization process enables the system to better adapt to the wall thickness measurement requirements of different storage tanks and improves the versatility and practicality of the system.

[0048] From the above, it can be seen that the present invention realizes the accurate measurement and efficient correction of tank volume and wall thickness by integrating modules such as data acquisition, three-dimensional modeling, segmented volume solution, dynamic wall thickness correction, Monte Carlo error analysis and user interaction interface, thereby significantly improving the accuracy and safety of tank management.

[0049] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

[0050] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code that includes one or more executable instructions for implementing the steps of a specific logical function or process, and the scope of the preferred embodiments of the present invention includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present invention belong.

[0051] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0052] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or a combination thereof: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, and a dedicated integrated circuit having a suitable combination of logic gate circuits.

[0053] A person skilled in the art may understand that all or part of the steps in the above-mentioned embodiment method may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0054] In addition, each functional unit in each embodiment of the present invention may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0055] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A three-dimensional modeling volume calculation and wall thickness measurement correction system for liquid storage tanks, characterized in that: include: A data acquisition module, used to obtain the external contour data and internal wall thickness data of the liquid storage tank; A three-dimensional modeling module, used to construct a three-dimensional geometric model of the liquid storage tank according to the data provided by the data acquisition module; The volume calculation module is used to calculate the volume of the three-dimensional geometric model using an integral algorithm. The integral algorithm formula is: V = ∫∫∫ D dxdydz, where V is the volume of the tank and D is the three-dimensional space domain of the tank; The wall thickness measurement correction module is used to adjust the wall thickness of the three-dimensional geometric model according to the internal wall thickness data and the preset wall thickness correction coefficient k. The correction formula is: 修正 =T 测量 ×k, where T 修正 is the corrected wall thickness, T 测量 is the measured wall thickness, k is the correction factor; An error analysis module, used to perform error evaluation on the volume solution result and the wall thickness correction result, and generate an error report; The user interface module is used to display the three-dimensional geometric model, volume solution results, wall thickness correction results and error reports.

2. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 1, characterized in that: The data acquisition module comprises: The photogrammetry unit is used to scan the outer surface of the liquid storage tank to obtain its external contour data. The scanning algorithm used by the photogrammetry unit is the polar coordinate scanning method, and the formula is: Where r is the distance, θ is the angle, z is the height, and x and y are the coordinates of the point on the tank surface on the two-dimensional plane; The ultrasonic thickness measuring unit is used to measure the wall thickness data of the liquid storage tank. The ultrasonic thickness measuring unit adopts the time difference measurement method. The formula is Where S 测量 is the round trip time of ultrasound, d is the wall thickness, and c is the propagation speed of ultrasound in the medium.

3. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 2, characterized in that: The data preprocessing submodule is used to denoise and smooth the data provided by the data acquisition module. The denoising algorithm adopts the median filtering method, and the formula is y(i,j)=median{x(ik,j),...,x(i+k,j)}, where y(i,j) is the denoised data, x(i,j) is the original data, and k is the filter window size.

4. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 3, characterized in that: The volume solving module also includes a piecewise integration submodule for dividing the three-dimensional geometric model into a plurality of simple geometric bodies, respectively calculating the volume of each geometric body and then summing them up. The volume calculation formula of a cylinder is V 圆柱 =πr 2 h, where r is the radius of the base and h is the height. The volume calculation formula for a cone is:

5. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 4, characterized in that: The wall thickness measurement correction module also includes a wall thickness history database for storing wall thickness measurement data in different time periods and corresponding correction coefficient k values. The update algorithm of the correction coefficient k adopts the linear regression method, and the formula is k 新 =k 旧 +a·(T 真实 -T 预测 ), where k 新 is the updated correction coefficient, k 旧 is the old correction coefficient, α is the learning rate, T 真实 is the actual measured wall thickness, T 预测 is the predicted wall thickness based on the old correction factor.

6. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 5, characterized in that: The error analysis module also includes a Monte Carlo simulation submodule, which is used to simulate the volume solution and wall thickness correction results multiple times by random sampling method, evaluate the stability and uncertainty of the results, and obtain the standard deviation; the error evaluation formula of the Monte Carlo simulation is: Where σ is the standard deviation, N is the number of simulations, and X i is the result of each simulation, and μ is the average value of the simulation results.

7. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 1, characterized in that: The system also includes a data storage module for storing the three-dimensional geometric model, volume solution results, wall thickness correction results, error reports and all intermediate processing data, and the data storage adopts a distributed storage architecture.

8. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 1, characterized in that: The user interface module also includes: An interactive control unit, used to receive the viewing angle, zoom ratio and color scheme of the three-dimensional geometric model adjusted by the user through a graphical interface, and to set the value of the wall thickness correction coefficient k; The viewing angle adjustment unit is used to adjust the viewing angle. The viewing angle adjustment adopts the quaternion rotation algorithm. The formula is: Where q is a quaternion, θ is the rotation angle, and v is the unit vector in the direction of the rotation axis.

9. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 1, characterized in that: The system also includes a calibration module, which is executed by a calibration controller to regularly calibrate the data acquisition module, the three-dimensional modeling module, the volume solution module and the wall thickness measurement correction module. The calibration algorithm adopts the least squares method, and the formula is: where y i is the actual measured value, is the predicted value after calibration, and n is the number of calibration points.

10. A liquid storage tank three-dimensional modeling volume calculation and wall thickness measurement correction system as claimed in claim 1, characterized in that: The system also includes an adaptive learning module, which is executed by a machine learning server and continuously optimizes the determination process of the wall thickness correction coefficient k through machine learning technology to improve the accuracy and efficiency of wall thickness correction. The adaptive learning module adopts a gradient descent method, and the formula is: where θ j is the current parameter value, θ j+1 is the updated parameter value, α is the learning rate, and J(θ) is the cost function.

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