Thin film can datum line marking method and system, storage medium and thin film can

Abstract

The invention relates to the technical field of thin film can construction, in particular to a thin film can datum line marking method and system, a storage medium and a thin film can. According to the thin film can datum line marking method, an inner wall mathematical model comprises an objective function and constraint conditions, and parameter variables of the inner wall mathematical model are coordinates of a theoretical bottom surface angular point, a theoretical bottom surface angular bisector point and a theoretical top surface angular bisector point; defining a domain of definition of parametric variables of the inner wall mathematical model; solving the coordinates of the theoretical bottom surface angular point, the theoretical bottom surface angular bisector point and the theoretical top surface angular bisector point which meet the objective function and the constraint conditions; and dotting and scribing are carried out according to the obtained coordinates of the theoretical bottom surface angular point, the theoretical bottom surface angular bisector point and the theoretical top surface angular bisector point. According to the method, a traditional fitting method depending on third-party software can be replaced, the compatibility of the theoretical model and the actual construction deviation is ensured in combination with the multi-dimensional constraint condition, and therefore the datum line drawing efficiency is improved on the premise that the precision is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of thin-film tank construction, and particularly to a method, a system, a storage medium and a thin-film tank for marking a reference line of a thin-film tank. Background Art

[0002] Due to the disadvantages of long construction period and high cost of traditional LNG (liquified natural gas) storage tanks, China has started to build thin-film LNG storage tanks. Thin-film storage tanks have the advantages of short construction period, low cost and long service life. The biggest difficulty in the construction of thin-film storage tanks lies in the marking of the reference line.

[0003] The Chinese invention patent with the authorization announcement number CN115265503B discloses a method for marking a reference line of a thin-film tank, which mainly adopts the following four major steps:

[0004] First, establish a theoretical model: input theoretical coordinates in POLYWORKS (a standard point cloud engineering solution, a 3D measurement tool software) to establish a theoretical model of the inner tank of the thin-film tank;

[0005] Second, establish an actual model: actually measure the actual coordinates, input the actual coordinates in POLYWORKS, and establish an actual model of the inner tank of the thin-film tank;

[0006] Third, model fitting and marking: fit the theoretical model of the inner tank of the thin-film tank with the actual model, determine the actual plane and the actual angular plane in the actual model of the inner tank of the thin-film tank according to the theoretical plane and the theoretical angular plane in the theoretical model of the inner tank of the thin-film tank, and mark the tank wall reference line and the tank bottom reference line in the built inner tank of the thin-film tank accordingly;

[0007] Fourth, reference line inspection: after the tank wall reference line and the tank bottom reference line are drawn, conduct inspections on the tank bottom reference line and the tank top reference line. After the inspections of the tank bottom reference line and the tank top reference line meet the requirements, the marking of the reference line of the thin-film tank is completed.

[0008] However, the above method needs to rely on POLYWORKS software to complete the fitting of the actual model and the theoretical model. There are many factors to be considered in the fitting process, the operation is complex, and at the same time, the fitting result may not meet the requirements of the reference line inspection, and it is necessary to re-measure and fit, resulting in low marking efficiency. Summary of the Invention

[0009] The purpose of the present invention is to provide a method, a system, a storage medium and a thin-film tank for marking a reference line of a thin-film tank, so as to reduce the operation difficulty and improve the marking efficiency.

[0010] To solve the above technical problems, the present invention provides a method, a system, a storage medium and a thin-film tank for marking a reference line of a thin-film tank.

[0011] The method for scribing the reference line of the thin film tank of the present invention is used to form a theoretical inner space model of the thin film tank including a theoretical bottom surface, a theoretical top surface, and multiple theoretical wall surfaces, and includes:

[0012] Establish an inner wall mathematical model, the inner wall mathematical model includes an objective function and constraint conditions, the objective function is designed to maximize the area of the theoretical bottom surface, and the parameter variables of the inner wall mathematical model are the coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface;

[0013] Define the domain of the parameter variables of the inner wall mathematical model;

[0014] Solve the coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface that satisfy the objective function and the constraint conditions;

[0015] Perform dotting and scribing according to the obtained coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface.

[0016] Further, the theoretical bottom surface and the theoretical top surface are composed of multiple triangles. The triangles of the theoretical bottom surface are surrounded by the center point of the theoretical bottom surface and two adjacent corner points of the theoretical bottom surface. The triangles of the theoretical top surface are surrounded by the center point of the theoretical top surface and two adjacent corner points of the theoretical top surface. The constraint conditions include:

[0017] In each triangle of the theoretical bottom surface, the straight line where the center point of the theoretical bottom surface and the angular bisector point of the theoretical bottom surface are located is perpendicular to the straight line where two adjacent corner points of the theoretical bottom surface are located.

[0018] Further, the constraint conditions include:

[0019] The perpendicularity of each theoretical wall surface is less than a set included angle; the perpendicularity of the theoretical wall surface is the included angle between the vector of the angular bisector point of the theoretical bottom surface and the angular bisector point of the theoretical top surface located on the theoretical wall surface and the perpendicular base vector.

[0020] Further, the set included angle is , = 1 / 1000.

[0021] Further, the constraint conditions include:

[0022] The difference in the inclination dimensions of two adjacent theoretical wall surfaces in the vertical direction is within a set range;

[0023] The inclination dimension of the theoretical wall surface in the vertical direction is the product of half of the width dimension of the theoretical wall surface and the sine value of the included angle between the theoretical wall surface and the horizontal axis.

[0024] Furthermore, the definition domain of the parameter variables that define the inner wall mathematical model includes:

[0025] Obtaining the coordinates of the actual bottom corner points and the actual top corner points in the film tank;

[0026] Calculate the coordinates of the actual bottom center point, the actual top center point, the actual bottom angle bisector point, and the actual top angle bisector point;

[0027] Taking the coordinates of one of the actual bottom corner points as the corresponding theoretical bottom corner point, the definition domain of the parameter variables of the remaining inner wall mathematical model is the floating size set based on the coordinates of the remaining actual bottom corner points, actual bottom angle bisector points and actual top angle bisector points.

[0028] Furthermore, the set size is determined by testing the influence of different set sizes floating up and down on the convergence speed of the inner wall mathematical model.

[0029] The present application also provides a film tank baseline marking system, which is used to implement the film tank baseline marking method as described in any one of the above technical solutions, including:

[0030] A model building module, used for building an inner wall mathematical model, the inner wall mathematical model includes an objective function and constraint conditions, the objective function is designed to maximize the area of ​​the theoretical bottom surface, and the parameter variables of the inner wall mathematical model are the coordinates of the theoretical bottom surface corner point, the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point;

[0031] A domain definition module, used to define the domain of the parameter variables of the inner wall mathematical model;

[0032] A solution module, used to solve the coordinates of the theoretical bottom surface corner point, the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point that satisfy the objective function and the constraint conditions;

[0033] The marking module is used to mark points and lines according to the coordinates of the theoretical bottom surface corner point, the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point.

[0034] The present application also provides a storage medium, in which a computer program is stored. When the computer program is executed by a processor, the film tank baseline marking method described in any one of the above technical solutions is executed.

[0035] The present application also provides a film tank, which is manufactured by marking a film tank baseline marking method as described in any one of the above technical solutions.

[0036] Compared with the prior art, the present invention has at least the following beneficial effects:

[0037] This application establishes an inner wall mathematical model and optimizes key coordinate parameters, replacing the traditional fitting method that relies on third-party software, and combines multi-dimensional constraint conditions to ensure the compatibility of the theoretical model with the deviation of actual construction, thereby improving the efficiency of baseline drawing on the premise of ensuring accuracy. Brief Description of the Drawings

[0038] Figure 1 It is a schematic flow chart of an embodiment of the method for drawing the baseline of the thin film tank of the present invention;

[0039] Figure 2 It is a schematic structural diagram of the top and bottom surfaces of the thin film tank;

[0040] Figure 3 It is a schematic structural diagram when showing the corner points and the bottom surface angular bisector points of the thin film tank;

[0041] Figure 4 It is a schematic diagram for calculating the bottom surface area of the thin film tank;

[0042] Figure 5 It is a schematic diagram of one of the constraint conditions of the method for drawing the baseline of the thin film tank of the present invention:

[0043] Figure 6 For Figure 5 An enlarged schematic diagram of the boxed area in. Detailed Description of the Preferred Embodiments

[0044] The method, system, storage medium and thin film tank for drawing the baseline of the thin film tank of the present invention will be described below with reference to the schematic diagrams, in which the preferred embodiments of the present invention are shown. It should be understood that those skilled in the art can modify the present invention described herein while still achieving the advantageous effects of the present invention. Therefore, the following description should be understood as broad knowledge for those skilled in the art and not as a limitation to the present invention. Based on the inspiration of this specification, those skilled in the art can form new technical solutions through cross-combination of different embodiments without generating technical contradictions, and such variations should be regarded as falling within the protection scope of the present invention.

[0045] The serial numbers assigned to the components in this document itself, such as "first", "second", etc., are only used to distinguish the described objects and do not have any sequential or technical meaning. And the "connection" and "coupling" mentioned in this application, unless otherwise specified, both include direct and indirect connection (coupling). In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation on the present invention.

[0046] In the present invention, unless otherwise clearly specified and defined, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on top of" the second feature may be that the first feature is directly above or obliquely above the second feature, or merely indicates that the first feature has a higher horizontal height than the second feature. The first feature being "under", "beneath" and "underneath" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely indicates that the first feature has a lower horizontal height than the second feature.

[0047] In this application, unless otherwise clearly specified and defined, the term "connection" should be understood in a broad sense. For example, "connection" can be a fixed connection, a detachable connection, or an integral one; it can be directly connected or indirectly connected through an intermediate medium. In addition, the term "electrical connection" can be a direct electrical connection or an indirect electrical connection through an intermediate medium.

[0048] In the following paragraphs, the present invention will be described more specifically by way of example with reference to the accompanying drawings. According to the following description and the claims, the advantages and features of the present invention will be clearer. It should be noted that the drawings are all in a very simplified form and use non-precise scales, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0049] The following combines the specification appendices Figure 1 to appendix Figure 6 , and introduces the method, system, storage medium and thin film tank for scribing the reference line of the thin film tank of the present invention.

[0050] The method for scribing the reference line of the thin-film tank of the present application is used to form an inner-wall theoretical space model of the thin-film tank including a theoretical bottom surface, a theoretical top surface, and multiple theoretical wall surfaces. The theoretical bottom surface and the theoretical top surface are composed of multiple triangles. The triangles on the theoretical bottom surface are surrounded by the center point of the theoretical bottom surface and two adjacent theoretical bottom surface corner points. The triangles on the theoretical top surface are surrounded by the center point of the theoretical top surface and two adjacent theoretical top surface corner points. As Figure 1 shown, it includes the following steps:

[0051] S100: Establish an inner-wall mathematical model. The inner-wall mathematical model includes an objective function and constraint conditions. The objective function is designed to maximize the area of the theoretical bottom surface. The parameter variables of the inner-wall mathematical model are the coordinates of the theoretical bottom surface corner points, the theoretical bottom surface angular bisector points, and the theoretical top surface angular bisector points.

[0052] S200: Define the domain of the parameter variables of the inner-wall mathematical model.

[0053] S300: Solve the coordinates of the theoretical bottom surface corner points, the theoretical bottom surface angular bisector points, and the theoretical top surface angular bisector points that satisfy the objective function and the constraint conditions.

[0054] S400: Perform dotting and scribing according to the obtained coordinates of the theoretical bottom surface corner points, the theoretical bottom surface angular bisector points, and the theoretical top surface angular bisector points.

[0055] Among them, the inner-wall mathematical model refers to the theoretical model of the inner wall of the thin-film tank established through a mathematical optimization algorithm, including an objective function and constraint conditions. Specifically, it can be implemented by using nonlinear programming or genetic algorithms, which is used to replace the traditional software fitting process to improve the model accuracy and calculation efficiency.

[0056] Among them, the parameter variables refer to the coordinates of the theoretical bottom surface corner points, the theoretical bottom surface angular bisector points, and the theoretical top surface angular bisector points. Specifically, it can be implemented by using the point coordinate data in a three-dimensional coordinate system. By adjusting these parameter variables, the inner-wall model is optimized to conform to the actual structural characteristics.

[0057] The domain refers to the value range of the parameter variables. Specifically, it can be set based on the actual measurement data and combined with the engineering allowable error range to set the upper and lower limits to ensure that the parameters of the optimized theoretical model are within the actual construction deviation range.

[0058] The objective function refers to the mathematical function that needs to be maximized or minimized during the optimization process. Specifically, it can use the maximization of the theoretical bottom surface area as the optimization goal to ensure the accuracy and stability of the reference line scribing by maximizing the bottom surface area.

[0059] Constraints refer to the restrictive conditions that must be satisfied during the optimization process. Specifically, geometric perpendicularity and inclination constraints can be adopted to ensure the consistency between the theoretical model and the actual structure through multi-dimensional constraints, avoiding repeated inspections.

[0060] This application establishes an inner wall mathematical model and optimizes key coordinate parameters, replacing the traditional fitting method that relies on third-party software. By combining multi-dimensional constraint conditions, it ensures the compatibility between the theoretical model and the actual construction deviation, thereby improving the efficiency of baseline marking while ensuring accuracy.

[0061] The working process and principle of this application are as follows: First, an inner wall mathematical model is established, which includes an objective function and constraint conditions. The parameter variables are the coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points. By establishing a mathematical model, key control points are incorporated into a unified optimization system to achieve coordinated parameter optimization.

[0062] Secondly, the domain of definition of the parameter variables of the inner wall mathematical model is limited. This step ensures computational feasibility and at the same time ensures that the model parameters meet the requirements of actual engineering deviations. By setting a reasonable range of parameter changes, solutions that do not conform to the actual situation are avoided.

[0063] Then, the coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points that satisfy the objective function and constraint conditions are solved, and then a theoretical space model of the inner wall of the thin-film tank including the theoretical bottom surface, the theoretical top surface, and multiple theoretical wall surfaces is obtained. This step uses a mathematical optimization algorithm to solve the optimal coordinate parameters on the premise of satisfying multi-dimensional constraint conditions, realizing the accurate mapping between the theoretical model and the actual structure.

[0064] Finally, dotting and line marking are carried out according to the obtained coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points. Automated dotting and line marking are carried out based on the optimized coordinate data to form a baseline that meets multiple quality standards such as perpendicularity and inclination.

[0065] Through this mathematical modeling and optimization algorithm, this application gets rid of the dependence on data fitting of third-party software in traditional methods, improving the accuracy and efficiency of baseline marking.

[0066] In some embodiments, the objective function is designed to maximize the area of the theoretical bottom surface.

[0067] By maximizing the area of the theoretical bottom surface, the volume utilization rate of the thin-film tank can be increased, thereby maximizing the storage capacity of the thin-film tank while meeting the requirements of structural stability. This method not only optimizes the design of the thin-film tank but also provides more accurate guidance for actual construction, effectively reducing rework or structural defect problems that may be caused by insufficient bottom surface area.

[0068] In some of these embodiments, the constraint conditions include:

[0069] For each triangle of the theoretical bottom surface, the straight line where the center point of the theoretical bottom surface and the angular bisector point of the theoretical bottom surface are located is perpendicular to the straight line where two adjacent angular points of the theoretical bottom surface are located.

[0070] Specifically, when establishing the inner wall mathematical model, first determine the coordinate parameters of the center point of the theoretical bottom surface and the angular bisector point of each triangle of the theoretical bottom surface, and then transform the orthogonal relationship between the line connecting two adjacent angular points and the line connecting the center point - angular bisector point into a mathematical constraint equation. When performing parameter optimization, this orthogonal constraint restricts the solution space range and forces each triangular patch to maintain ideal planar geometric characteristics.

[0071] For example, during the iterative calculation process, if it is detected that the line connecting the center point - angular bisector point deviates from the vertical state by more than the threshold, the coordinates of the angular bisector point are automatically adjusted to return it to the position of the perpendicular bisector. The resulting continuous and smooth theoretical bottom surface structure not only improves the spatial geometric accuracy of the mathematical model but also provides reliable reference data for subsequent dotting and line marking. The introduction of this vertical constraint directly solves the problem of baseline deviation caused by triangular patch distortion and, in conjunction with the goal of maximizing the area, enables the optimized theoretical bottom surface to meet both the geometric accuracy requirements and achieve a significant increase in the effective volume.

[0072] In some of these embodiments, the constraint conditions include:

[0073] The perpendicularity of each theoretical wall surface is less than a set included angle.

[0074] Wherein, the perpendicularity of the theoretical wall surface is defined as the included angle between the vector formed by the angular bisector point of the theoretical bottom surface and the angular bisector point of the theoretical top surface on this wall surface and the vertical base vector. The value range of the set included angle can be such that the tangent value does not exceed 1 / 1000, for example, the tangent value is 1 / 1000, or a more stringent tangent value such as 1 / 1500. When establishing the inner wall mathematical model, by limiting the threshold value of this included angle, the wall surface is kept in a nearly vertical state during the optimization process. This constraint, combined with the definition domain limitation of the parameter variables in the inner wall mathematical model, for example, when solving the coordinates of the angular points of the theoretical bottom surface, the angular bisector point of the theoretical bottom surface, and the angular bisector point of the theoretical top surface, simultaneously satisfies the objective function and the perpendicularity constraint through a mathematical optimization algorithm, ensuring that the deviation between the wall surface shape of the theoretical model and the actual tank structure is controlled within the engineering accuracy range.

[0075] Specifically, the vector formed by the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point represents the spatial direction characteristics of the theoretical wall surface. The vertical base vector serves as an absolute reference system, such as the direction of gravity or the reference axis. The angle bisector point is located on the symmetry line of the wall surface structure, which can reflect the overall direction trend of the wall surface and avoid the influence of local deformation or measurement error on the perpendicularity calculation. The calculation of the vector angle uses geometric methods, such as determining the angle value through the vector dot product or cross product formula, and its physical meaning is clear and quantifiable.

[0076] Specifically, when solving the coordinates of the parameter variables that satisfy the objective function and the constraint conditions, the perpendicularity constraint directly affects the coordinate calculation of the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point by restricting the inclination direction of the wall surface. For example, when the angle between the vector of the theoretical wall surface and the vertical base vector exceeds the set threshold, the optimization algorithm will automatically adjust the coordinate positions of the theoretical bottom surface angle bisector point and the theoretical top surface angle bisector point to make them meet the perpendicularity requirements again. This process works in coordination with the optimization direction of maximizing the theoretical bottom surface area in the objective function, which not only ensures the volumetric efficiency of the theoretical space but also avoids the baseline scribing deviation caused by excessive wall surface inclination. As a result, the fitting degree between the theoretical model wall surface and the actual tank structure is improved, and the rework risk caused by model errors during the construction process is significantly reduced.

[0077] By adding the perpendicularity limit of the theoretical wall surface to the constraint conditions, it is ensured that the inclination degree of the model wall surface meets the engineering accuracy requirements. This limit directly acts on the solution process of the inner wall mathematical model, avoiding the problem of mismatch between the theoretical model and the actual tank shape caused by excessive wall surface inclination, thereby improving the reliability of baseline scribing and the construction quality, and reducing the rework risk caused by model deviation.

[0078] In some of these embodiments, the constraint conditions include:

[0079] The difference in the inclination dimensions of two adjacent said theoretical wall surfaces in the vertical direction is within a set range.

[0080] Among them, the difference in the inclination dimensions between adjacent theoretical wall surfaces is constrained by a set range, and the specific value of this range can be adjusted according to the structural requirements of the thin-film tank. The calculation of the difference in the inclination dimensions is based on the inclination dimensions of the theoretical wall surface in the vertical direction, where the inclination dimension is defined as the product of half of the width dimension of the theoretical wall surface and the sine value of the angle between the theoretical wall surface and the horizontal axis.

[0081] Specifically, half of the width dimension of the theoretical wall is used to characterize the horizontal symmetry of the wall. The horizontal axis serves as the reference line, and the sine value of the inclination angle between the theoretical wall and the horizontal axis is used to relate the geometric relationship between the wall inclination angle and the vertical dimension. The product relationship combines the horizontal width and the inclination angle to form a quantitative calculation model for the vertical inclination dimension. For example, when the width of the theoretical wall is 2 meters and the inclination angle between the theoretical wall and the horizontal axis is 30°, the inclination dimension is calculated as 1 meter multiplied by sin30°, which is 0.5 meters. Through this calculation method, the difference in the inclination dimensions of adjacent walls can be accurately quantified, and then it can be determined whether it meets the set range. When solving the inner wall mathematical model, this calculation model can be directly embedded into the constraint conditions to jointly optimize the coordinates of the corner points of the theoretical bottom surface with the objective function, ensuring the geometric consistency of the inclination forms of adjacent walls.

[0082] Among them, half of the horizontal width dimension defines the horizontal distance from the center line of the wall to the edge. The sine value of the inclination angle converts the inclination angle into a proportional coefficient in the vertical direction. The product of the two directly reflects the deformation amount of the wall in the vertical direction due to inclination. When the difference in the inclination dimensions of adjacent walls is calculated by this formula, it can be determined whether it meets the constraint conditions based on the set range. For example, if the set range requires that the difference does not exceed 0.1 meter, then by calculating the difference between the product results of the two walls, it can be quickly verified whether it is within the allowable range. This formula-based calculation avoids the errors that may be introduced when manually measuring the angle or width. At the same time, through the mathematical relationship, it ensures the repeatability and consistency of the calculation process, provides accurate constraint condition input for solving the inner wall mathematical model, and thus improves the accuracy of the baseline marking.

[0083] By restricting the difference in the inclination dimensions of adjacent theoretical walls in the vertical direction, the structural incoherence or sudden inclination of adjacent walls in the vertical direction is avoided. This constraint condition ensures that the inclination change between adjacent walls is gentle, reduces the risk of local stress concentration or structural instability, thereby improving the stability of the inner wall structure of the thin-film tank, reducing the number of adjustments required during actual marking, and further improving the efficiency and accuracy of the baseline marking. This optimization not only improves the rationality of the inner wall mathematical model, but also makes the solved theoretical coordinates closer to the actual structure, thereby improving the reliability and practicality of the entire thin-film tank baseline marking method.

[0084] In some of these embodiments, the domain of definition of the parameter variables that define the inner wall mathematical model includes:

[0085] Obtain the coordinates of the actual corner points of the bottom surface and the actual corner points of the top surface inside the thin-film tank;

[0086] Calculate the coordinates of the actual center point of the bottom surface, the actual center point of the top surface, the actual angular bisector point of the bottom surface, and the actual angular bisector point of the top surface;

[0087] Taking the coordinates of one of the actual bottom corner points as the corresponding theoretical bottom corner point, the domain of definition of the parameter variables of the remaining inner wall mathematical model is set with dimensions floating up and down based on the coordinates of the remaining actual bottom corner points, actual bottom angle bisector points, and actual top angle bisector points.

[0088] Among them, the actual bottom center point is calculated by geometric averaging of the coordinates of the actual bottom corner points, and the actual top center point is obtained by the same method. The actual bottom angle bisector point is determined by the coordinates of the intersection point between the angle bisector starting from the actual bottom center point and the connection line between two adjacent actual bottom corner points, and the actual top angle bisector point is determined by the coordinates of the intersection point between the angle bisector starting from the actual top center point and the connection line between two adjacent actual top corner points. The value range of the set dimension can be 3 - 8 mm, such as 4 mm, 5 mm, or 6 mm. Specifically, it can be determined after testing the influence of different floating ranges on the model convergence speed through an optimization algorithm. After fixing one actual bottom corner point as the theoretical bottom corner point, the remaining parameter variables are allowed to float within the set dimension range of the corresponding actual point coordinates, which not only maintains the model solution space but also avoids the problem of solution set divergence caused by unconstrained variables.

[0089] Specifically, first, the three-dimensional coordinate data of the actual bottom corner points and top corner points inside the thin film tank are obtained by a laser scanner to provide a measured benchmark for subsequent calculations. Subsequently, using computational geometry methods, the bottom center point is generated based on the coordinates of the actual bottom corner points, the bottom angle bisector point is generated based on the coordinates of the intersection point between the angle bisector starting from the actual bottom center point and the connection line between two adjacent actual bottom corner points, and the bottom angle bisector point is generated based on the coordinates of the intersection point between the angle bisector starting from the actual top center point and the connection line between two adjacent actual top corner points to form an intermediate calculation benchmark that conforms to the actual structure of the tank body. When setting the domain of definition of the parameter variables, one actual bottom corner point is selected as the fixed reference point in the theoretical model, and the coordinates of the remaining theoretical bottom corner points, bottom angle bisector points, and top angle bisector points are allowed to float within the set dimension range of the corresponding actual point coordinates. For example, when the set dimension is 5 mm, the X coordinate of the theoretical bottom corner point can float within the range of the actual point X coordinate ±5 mm, and the same applies to the Y and Z coordinates. By combining the measured data with the calculated data, it not only avoids the possible rigid constraints of the model caused by completely relying on the measurement data but also improves the solution efficiency of the optimization algorithm by limiting the floating range, ultimately achieving a high-precision match between the theoretical model and the actual structure.

[0090] This embodiment effectively solves the problem of excessive model rigidity caused by complete reliance on measured data. By combining measured points with a floating interval, it not only preserves the actual structural characteristics but also provides a reasonable adjustment space for parameter optimization. This dynamic constraint mechanism significantly reduces the risk of the optimization algorithm falling into a local optimal solution and avoids the error superposition phenomenon caused by simultaneous adjustment of multiple variables, enabling the theoretical model to adaptively match the actual deformation of the tank body and ultimately achieving a coordinated improvement in the accuracy of baseline drawing and calculation efficiency.

[0091] The following further introduces the method for drawing the baseline of the thin-film tank of the present application in combination with specific embodiments.

[0092] (1) Design data

[0093] To better describe the inner wall mathematical model of this embodiment, the data and variables used in the modeling are first clearly defined in mathematical language.

[0094] M: As Figure 2 shown, the number of sides of the polygon of the bottom surface B and the top surface T of the storage tank is M. M is a constant value and is an even number. Common values are 32, 56, etc.;

[0095] H: The distance between the bottom surface B and the top surface T determined during the measurement of the storage tank is H, which is a constant value;

[0096] : The standard value of the difference in the inclination dimension of two adjacent theoretical wall surfaces in the vertical direction is denoted as ;

[0097] : The standard value of the perpendicularity of the theoretical wall surface is denoted as ;

[0098] : The width of the theoretical wall surface;

[0099] : The unit basis vectors of the world coordinate system are respectively .

[0100] (2) Measurement data

[0101] Obtain the coordinates of the actual bottom surface corner points and the actual top surface corner points inside the thin-film tank.

[0102] As Figure 3 shown, the corner points of the bottom surface B are marked as (CP represents the corner point CornerPoint, B i represents the i-th corner point on the bottom surface B), The coordinates of are . The first corner point is , define the next corner point in the clockwise direction from the center of the circle facing the wall of the storage tank as , then the first point in the counterclockwise direction is ;

[0103] Similarly, the top corner points are marked as , The coordinates of are . The first corner point is , define the next corner point in the clockwise direction from the center of the circle facing the wall of the storage tank as , then the first point in the counterclockwise direction is .

[0104] (3) Preliminary calculation

[0105] Calculate the coordinates of the actual bottom center point, actual top center point, actual bottom angle bisector point, and actual top angle bisector point.

[0106] The actual bottom center point of the bottom surface B The coordinates are recorded as ([[]] , , 0), then , ; then the actual top center point of the top surface T The coordinates are recorded as ([[]] , , H);

[0107] As Figure 3 and Figure 4 shown, from the actual bottom center point along each angle bisector in the bottom surface B towards the sides of the polygon (the line connecting two adjacent actual bottom corner points) to make rays, the intersection points are called bottom angle bisector points, and are respectively recorded as , and their coordinates are ;

[0108] From the actual top center point along each angle bisector in the top surface T towards the sides of the polygon (the line connecting two adjacent actual top corner points) to make rays, the intersection points are called top angle bisector points, and are respectively recorded as , and their coordinates are .

[0109] (4) Parameter variables

[0110] Include the coordinates of the theoretical bottom corner points, theoretical bottom angle bisector points, and theoretical top angle bisector points.

[0111] The coordinates of the theoretical bottom corner points are recorded as: ;

[0112] The coordinates of the point on the theoretical bottom surface angle bisector are denoted as: ;

[0113] The coordinates of the point on the theoretical top surface angle bisector are denoted as: .

[0114] (5) Objective function

[0115] The objective function is designed to maximize the area of the theoretical bottom surface, as Figure 4 shown, by calculating the sum of the areas of all the triangles in the bottom surface B to be maximized.

[0116] The formula of the objective function is:

[0117]

[0118] (6) Constraint conditions

[0119] In this embodiment, in order to improve the accuracy of the inner wall mathematical model, three constraint conditions are set. In other embodiments, different numbers of constraint conditions can also be selected according to requirements.

[0120] Constraint condition 1 is: the straight line where the center point of the theoretical bottom surface and the point on the theoretical bottom surface angle bisector in each triangle of the theoretical bottom surface is perpendicular to the straight line where two adjacent theoretical bottom surface corner points are located. Perpendicular.

[0121] Constraint condition 2 is: the perpendicularity of each theoretical wall surface is less than the set angle.

[0122] Specifically, the perpendicularity of the theoretical wall surface is the angle between the vector of the point on the theoretical bottom surface angle bisector and the point on the theoretical top surface angle bisector located on the theoretical wall surface and the perpendicular basis vector . In this embodiment, the set angle is , = 1 / 1000.

[0123] This constraint condition is expressed by the formula as:

[0124] Constraint condition 3 is: the difference in the inclination dimensions of two adjacent theoretical wall surfaces in the vertical direction is within the set range.

[0125] Specifically, as Figure 5 shown, the inclination dimension of the theoretical wall surface in the vertical direction is the product of half of the width dimension of the theoretical wall surface and the sine value of the inclination angle of the theoretical wall surface with the horizontal axis.

[0126] As shown Figure 6 below, this constraint condition is expressed by the formula as: ;

[0127] wherein, = ;

[0128] = .

[0129] Specifically, since the offset directions of two adjacent wall surfaces may be different, is used to represent the mixed product divided by the modulus of the mixed product, and the result is a plus or minus sign, which is used to represent the direction.

[0130] represents the vector minus in the direction of the vector component, and the remaining vector component on the wall surface perpendicular to the bottom surface is denoted as vector T for easy understanding; wherein represents the dot product.

[0131] is the cross product of vector T and vector K divided by the modulus, and the result is , that is, the sine value of the inclination angle of the theoretical wall surface with the horizontal axis, and the inclination dimension of the theoretical wall surface in the vertical direction is .

[0132] (7) Variable domain

[0133] In order to maintain the stability of the calculation result, the coordinates of one of the actual bottom corner points are used as the corresponding theoretical bottom corner points, and the domain of definition of the parameter variables of the remaining inner wall mathematical model is set with a floating dimension based on the coordinates of the remaining actual bottom corner points, actual bottom angle bisector points, and actual top angle bisector points.

[0134] Specifically, in this embodiment, the set dimension is 5 mm. For the first corner point, , the corresponding coordinate value = , = ; for the others ( ), and limit their domain of definition within the range of 5 mm of their corresponding calculated data. Taking as an example, that is = ; = .

[0135] (8) Solving

[0136] Input the above inner wall mathematical model into a solving tool. By using the solving tool, the solutions of the parameter variables can be obtained. These solutions represent the coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points that satisfy the objective function and the constraint conditions. Among them, solving tools such as Mathematics, Lingo, or Google OR-Tools can be used, or other solving tools can also be adopted.

[0137] Dot and draw lines according to the coordinates of the obtained theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points.

[0138] The present application also provides a film tank reference line marking system for implementing the film tank reference line marking method described in any one of the above technical solutions, including a model establishment module, a domain definition module, a solving module, and a marking module.

[0139] The model establishment module is used to establish an inner wall mathematical model. The inner wall mathematical model includes an objective function and constraint conditions. The objective function is designed to maximize the area of the theoretical bottom surface. The parameter variables of the inner wall mathematical model are the coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points.

[0140] The domain definition module is used to define the domain of the parameter variables of the inner wall mathematical model.

[0141] The solving module is used to solve the coordinates of the theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points that satisfy the objective function and the constraint conditions.

[0142] The marking module is used to dot and draw lines according to the coordinates of the obtained theoretical bottom corner points, the theoretical bottom angle bisector points, and the theoretical top angle bisector points.

[0143] The present application improves the efficiency of reference line marking while ensuring accuracy by establishing an inner wall mathematical model and optimizing key coordinate parameters, replacing the traditional fitting method that relies on third-party software, and combining multi-dimensional constraint conditions to ensure the compatibility of the theoretical model with the deviation of actual construction.

[0144] The present application also provides a storage medium. The storage medium can be a USB flash drive, a mobile hard disk, a ROM, a RAM, a magnetic disk, or an optical disc, etc. A computer program can be stored on the storage medium. When the computer program is run by a processor, it executes the film tank reference line marking method described in the foregoing method embodiment. The specific implementation manners and technical effects are similar and will not be elaborated herein.

[0145] The present application also provides a thin film can, which is made after scribing by the thin film can reference line scribing method as described in any one of the above technical solutions. The specific implementation manners and technical effects are similar and will not be elaborated herein.

[0146] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A method for scribing a reference line of a thin-film can, characterized in that, A method for forming a theoretical space model of the inner wall of a thin-film tank including a theoretical bottom surface, a theoretical top surface, and a plurality of theoretical wall surfaces, comprising: Establishing a mathematical model of the inner wall, the mathematical model of the inner wall including an objective function and constraint conditions, the objective function being designed to maximize the area of the theoretical bottom surface, and the parameter variables of the mathematical model of the inner wall being the coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface; Defining the domain of the parameter variables of the mathematical model of the inner wall; Solving for the coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface that satisfy the objective function and the constraint conditions; Performing dotting and line drawing based on the obtained coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface.

2. The method for scribing the reference line of the thin film tank according to claim 1, wherein The theoretical bottom surface and the theoretical top surface are composed of a plurality of triangles. The triangles of the theoretical bottom surface are formed by the center point of the theoretical bottom surface and two adjacent corner points of the theoretical bottom surface, and the triangles of the theoretical top surface are formed by the center point of the theoretical top surface and two adjacent corner points of the theoretical top surface. The constraint conditions include: In each triangle of the theoretical bottom surface, the straight line where the center point of the theoretical bottom surface and the angular bisector point of the theoretical bottom surface are located is perpendicular to the straight line where two adjacent corner points of the theoretical bottom surface are located.

3. The method for scribing the reference line of the thin film tank according to claim 1, wherein, The constraint conditions include: The perpendicularity of each theoretical wall surface is less than a set included angle; The perpendicularity of the theoretical wall surface is the included angle between the vector of the angular bisector point of the theoretical bottom surface and the angular bisector point of the theoretical top surface located on the theoretical wall surface and the perpendicular basis vector.

4. The method for scribing the reference line of the thin film tank according to claim 3, wherein, The set included angle is , = 1 / 1000.

5. The method for scribing the reference line of the thin-film tank according to claim 1, characterized in that, The constraint conditions include: The difference in the inclination dimensions of two adjacent theoretical wall surfaces in the vertical direction is within a set range; The inclination dimension of the theoretical wall surface in the vertical direction is the product of half of the width dimension of the theoretical wall surface and the sine value of the angle between the theoretical wall surface and the horizontal axis.

6. The method for marking the reference line of the thin film tank according to claim 1, wherein, The defining the domain of the parameter variables of the mathematical model of the inner wall includes: Obtaining the coordinates of the actual corner points of the bottom surface and the coordinates of the actual corner points of the top surface inside the thin-film tank; Calculating the coordinates of the actual center point of the bottom surface, the actual center point of the top surface, the actual angular bisector points of the bottom surface, and the actual angular bisector points of the top surface; Taking the coordinates of one of the actual corner points of the bottom surface as the corresponding corner point of the theoretical bottom surface, and the domain of the remaining parameter variables of the mathematical model of the inner wall is set to float up and down by a set dimension based on the coordinates of the remaining actual corner points of the bottom surface, the actual angular bisector points of the bottom surface, and the actual angular bisector points of the top surface.

7. The method for marking the reference line of the thin film tank according to claim 6, wherein Determining the set dimension by testing the influence of floating up and down different set dimensions on the convergence speed of the mathematical model of the inner wall.

8. A baseline scribing system for a thin-film tank, characterized in that, A method for realizing the baseline marking method of the thin-film tank according to any one of claims 1 to 7, comprising: A model establishment module for establishing a mathematical model of the inner wall, the mathematical model of the inner wall including an objective function and constraint conditions, the objective function being designed to maximize the area of the theoretical bottom surface, and the parameter variables of the mathematical model of the inner wall being the coordinates of the corner points of the theoretical bottom surface, the angular bisector points of the theoretical bottom surface, and the angular bisector points of the theoretical top surface; A domain definition module for defining the domain of the parameter variables of the mathematical model of the inner wall; A solving module, configured to solve the coordinates of the theoretical bottom corner points, the theoretical bottom angular bisector points, and the theoretical top angular bisector points that satisfy the objective function and the constraint conditions; A marking and scribing module, configured to perform dot marking and scribing according to the obtained coordinates of the theoretical bottom corner points, the theoretical bottom angular bisector points, and the theoretical top angular bisector points.

9. A storage medium, characterized in that, The storage medium stores a computer program, and when the computer program is run by a processor, it executes the thin-film tank reference line scribing method according to any one of claims 1-7.

10. A thin film can, characterized in that, It is made after scribing by the thin-film tank reference line scribing method according to any one of claims 1 to 7.

Images