A method, system, medium and equipment for rapid detection of verticality of large molds

Abstract

The present invention discloses a method, system, medium and equipment for rapid detection of verticality of large molds, including the steps of: S1, arranging multiple detection points on the surface to be inspected of the mold, selecting two detection points at the two ends at the bottom to connect as reference lines; S2, setting up a total station at a preset position in front of the mold; S3, collecting the plane coordinates of the two selected detection points, calculating the linear equation of the reference line according to the plane coordinates, and determining the distance formula of the point-to-line plane according to the linear equation of the reference line L; S4, collecting the plane coordinates of the remaining detection points, and calculating the plane distance of the remaining detection points to the reference line according to the plane coordinates of the remaining detection points and the point-to-line plane distance formula; S5, judging whether the verticality of the surface to be inspected of the mold meets the requirements according to the size relationship between the plane distance data and the preset value of the verticality. The present invention uses a total station to collect the plane coordinates of the point positions, and then uses the point-to-line distance calculation to achieve the purpose of verticality detection.

Description

Technical Field

[0001] The invention relates to the technical field of large-scale mold or large-scale component verticality detection, and in particular to a large-scale mold verticality rapid detection method, system, medium and equipment. Background Art

[0002] At present, the verticality detection of buildings, components and molds usually adopts the plumb bob method, ruler method, square method, theodolite method, three-coordinate measurement method, total station distance and angle measurement method, etc.

[0003] The plumb bob method is to read the verticality of the object to be measured by hanging a plumb bob line with a tape measure or ruler. The manual reading error is large and the efficiency is low. The ruler method is to use a ruler to measure and read the object closely. This method has a large manual reading error and requires the measured surface to be smooth. The height of the object should not be greater than 5 meters, and there are many restrictions. The theodolite method is to set up the theodolite in a direction flush with the measured surface and use a tape measure or ruler to read the verticality of the object to be measured. The manual reading error is large and the efficiency is low, and it is greatly affected by the site conditions. The three-coordinate measuring method uses a three-coordinate measuring machine or a laser tracker to measure, model and analyze objects and workpieces. It has high accuracy, stable data and flexible application, but the instrument cost is high. The total station distance and angle measurement method requires the preparation of control points and control normals in advance, and then the instrument is set up to align with the control points or normals, leveled and oriented, and then the distance and angle measurement are used to calculate the verticality using geometric relationships. The method is single and cannot be modeled. The calculation conversion is complex and inefficient, and it cannot meet complex working conditions. Summary of the invention

[0004] The first purpose of the present invention is to overcome the shortcomings of the prior art and provide a method for quickly detecting the verticality of a large mold. First, a total station is used to collect the plane coordinates of the point, and then the distance from the point to the line is calculated to achieve the purpose of verticality detection. The method has the advantages of simple operation, small site requirements, adaptability to complex working conditions, high measurement accuracy, high efficiency, low cost, and a wide range of applications.

[0005] The second object of the present invention is to provide a large mold verticality rapid detection system.

[0006] A third object of the present invention is to provide a storage medium.

[0007] A fourth object of the present invention is to provide a computing device.

[0008] The first object of the present invention is achieved by the following technical solutions:

[0009] A method for quickly detecting the verticality of a large mold comprises the following steps:

[0010] S1. Arrange multiple inspection points on the surface of the mold to be inspected, select two inspection points at the two ends at the bottom and connect them as the reference line L;

[0011] S2. Set up a total station at a preset position in front of the mold, and place the magnetic prisms of the total station at the two selected detection points;

[0012] S3, using a total station to collect the plane coordinates of the two selected detection points, calculating the linear equation of the reference line L according to the plane coordinates, and determining the distance formula from the point to the line plane according to the linear equation of the reference line L;

[0013] S4. Using a total station to collect the plane coordinates of the remaining detection points, and calculating the plane distances of the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points and the point-to-line plane distance formula;

[0014] S5. According to the relationship between the plane distance data from the remaining inspection points to the reference line L and the preset verticality value, determine whether the verticality of the mold surface to be inspected meets the requirements.

[0015] Further, in step S1, multiple inspection points are arranged at the upper, middle and lower parts of the mold surface to be inspected, and two inspection points located at the two ends of the lower part of the mold surface to be inspected are selected. The line connecting the two inspection points is used as the reference line L, and the two inspection points are used as the starting point and end point of the reference line L respectively.

[0016] Further, in step S3, the plane coordinates of the two selected detection points are collected by the total station, and the linear equation of the reference line L is calculated according to the plane coordinates AX+BY+C=0, where A, B, and C are coefficients, and X and Y are the horizontal and vertical coordinates of any point on the straight line, respectively. The point-to-line plane distance formula is determined according to the linear equation of the reference line L: Among them, X0 and Y0 are the horizontal and vertical coordinates of any point respectively.

[0017] Further, in step S5, if the plane distance data from the remaining detection points to the reference line L is less than the preset verticality value, the verticality of the surface to be detected of the mold meets the requirement.

[0018] Further, in step S5, according to the point-to-line plane distance formula Get the formula Among them, A, B, and C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point respectively, and the plane coordinates of the remaining detection points are combined with the formula Quickly determine the posture of the mold. If D>0, it means that the detection point is on the left side of the reference line L, that is, the plane where the detection point is located is tilted backwards. If D<0, it means that the detection point is on the right side of the reference line L, that is, the plane where the detection point is located is tilted forward.

[0019] The second object of the present invention is achieved by the following technical solutions:

[0020] A large mold verticality rapid detection system, including:

[0021] An arrangement module is used to arrange multiple inspection points on the surface of the mold to be inspected, and select two inspection points at the two ends at the bottom to connect them as a reference line L;

[0022] The total station is set up in front of the mold surface to be inspected, and its magnetic prism is placed on the two inspection points selected by the layout module to collect the plane coordinate information of each inspection point;

[0023] A calculation module, used to calculate the straight line equation of the reference line L according to the plane coordinates of the two selected detection points, and then determine the distance formula from the point to the line plane according to the straight line equation of the reference line L, and calculate the plane distances from the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points;

[0024] The verticality judgment module is used to judge whether the verticality of the mold surface to be inspected meets the requirements based on the size relationship between the plane distance data from the remaining inspection points to the reference line L and the preset verticality value.

[0025] Furthermore, it also includes a posture judgment module for determining the distance between the point and the line plane according to the formula Get the formula Among them, A, B, and C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point, respectively, and then according to the plane coordinates of the remaining detection points combined with the formula Quickly determine the posture of the mold.

[0026] The third object of the present invention is achieved by the following technical solutions:

[0027] A storage medium stores a program, and when the program is executed by a processor, the method for quickly detecting the verticality of a large mold is implemented.

[0028] The fourth object of the present invention is achieved by the following technical solutions:

[0029] A computing device comprises a processor and a memory for storing a program executable by the processor. When the processor executes the program stored in the memory, the method for quickly detecting the verticality of a large mold is implemented.

[0030] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0031] 1. The instrument is simple and quick to set up, and the site is less restricted: The traditional way to set up a total station is to prepare control points and control normals in advance, then set up the instrument to align with the control points or normals, level and orient to prepare for observation, and this process takes about 1 to 2 hours. The method of the present invention only takes 2 to 10 minutes from setting up the total station, leveling, free orientation to preparing for observation, saving more than about 60 minutes. At the same time, since there is no need to prepare control points and lines, the instrument does not need to be set up at a specific point, and only a safe and convenient location for observation is required, so it is less restricted by the site.

[0032] 2. Small human error and high precision: The present invention automatically captures and locks the target through the total station, and the human interference factor is close to zero, which greatly improves the data accuracy.

[0033] 3. Wide application range and adaptability to complex working conditions: The height of the object to be detected by plumb bob method, ruler method and square ruler method cannot be too high, generally not more than 5 meters, otherwise the constraints will affect the accuracy. The present invention can be used to detect objects with heights ranging from 1 meter to 100 meters, greatly improving the application range and adapting to complex engineering conditions.

[0034] 4. The digital model principle is simple, and it can be measured, calculated and saved immediately, with high efficiency: After using the traditional distance measurement and angle measurement of the total station, it is necessary to use geometric relationships to convert and solve in order to obtain the verticality. The process is complicated and inefficient. The digital model principle of the present invention is simple, the calculation process is simple, the results can be calculated quickly, and the construction can be guided on site with high efficiency. At the same time, in traditional distance measurement and angle measurement, sometimes the total station needs to lock the horizontal disk after observing the horizontal distance of a certain detection point, and then rotate the aiming part to observe the next detection point, and so on. This approach is not flexible enough. When the detection surface width is large and there are many detection points, the efficiency is extremely low, and manual calculation and transcription are required after measurement, which is not convenient for instrument storage and post-processing. The present invention uses the "point-line method". When the total station collects coordinates, data can be collected as long as the points that can be seen on the detection surface, any angle and any distance, flexible observation, and coordinate data can be saved at any time for later processing.

[0035] 5. The data can be edited and filed easily, and the modeling effect is intuitive and easy to display: Most of the verticality obtained by traditional detection methods is measured manually with a ruler and recorded manually, which is not convenient for later editing and filing. In the method of the present invention, the coordinate data collected by the total station can be two-dimensional coordinates or three-dimensional coordinates, which can be imported into the computer for direct editing, calculation and filing, and can also be imported into three-dimensional software to build models for analysis and display, making the data more intuitive and more visual.

[0036] 6. Low instrument cost: The market price of the laser tracker used in the three-coordinate measuring method (such as the American API laser tracker) is more than 600,000 yuan, while the market price of the total station used in the present invention is about 20,000 to 30,000 yuan to meet the requirements, and the instrument cost can be saved by up to about 500,000 yuan. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 Schematic diagram of the process of the rapid verticality detection method.

[0038] Figure 2 Schematic diagram of step S2 in the method for rapid verticality detection Figure 1 .

[0039] Figure 3 Schematic diagram of step S2 in the method for rapid verticality detection Figure 2 .

[0040] Figure 4 Schematic diagram of step S2 in the method for rapid verticality detection Figure 3 .

[0041] Figure 5 This is a schematic diagram of using a rapid verticality detection method to determine the mold posture.

[0042] Figure 6 This is a schematic diagram of using a table to calculate the verticality of the steel end formwork.

[0043] Figure 7 Schematic diagram of verticality calculation using smartphone programming function.

[0044] Figure 8 This is a schematic diagram of the interior of the steel end mold.

[0045] Fig. 9 This is a schematic diagram of the installation of the magnetic prism. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0047] Embodiment 1:

[0048] like Figures 1 to 4 As shown, this embodiment provides a method for quickly detecting the verticality of a large mold, taking the verticality detection of the steel end mold 100 of the wind turbine foundation prefabricated part as an example, comprising the steps of:

[0049] S1. Arrange four inspection points (inspection point 1, inspection point 2 to inspection point 12) at the upper, middle and lower parts of the surface to be inspected of the steel end mold 100 respectively. The specific number can be set according to actual needs. Select inspection point 1 and inspection point 12 located at the two ends of the lower part of the surface to be inspected, and use the line connecting the two inspection points as the reference line L. The reference line L and the projection line of the intersection of the ground 400 and the surface to be inspected 500 coincide with each other and are on the surface to be inspected, and inspection point 1 and inspection point 12 are respectively used as the starting point O and end point P of the reference line L.

[0050] S2. Set up an ultra-high precision total station 200 at a preset position in front of the mold, freely orient it after leveling, and place the magnetic prism 300 of the total station 200 at the detection point 1 and the detection point 12 respectively.

[0051] S3. Use the total station 200 to collect the plane coordinates of the detection point 1 and the detection point 12, and calculate the linear equation of the reference line L according to the plane coordinates AX+BY+C=0, where A, B, and C are coefficients, X and Y are the horizontal and vertical coordinates of any point on the line, respectively. According to the linear equation of the reference line L, determine the point-to-line plane distance formula Among them, A, B, C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point respectively;

[0052] S4. Collect the plane coordinates of the remaining detection points using the total station 200, and calculate the plane distances from the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points and the point-to-line plane distance formula.

[0053] S5. According to the relationship between the plane distance data from the remaining detection points to the reference line L and the preset verticality value, determine whether the verticality of the surface to be inspected meets the requirement. If the plane distance data is less than the preset verticality value, the verticality of the surface to be inspected meets the requirement.

[0054] In addition, the point-to-line plane distance formula can be used Get the formula Among them, A, B, and C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point respectively, and the plane coordinates of the remaining detection points are combined with the formula Quickly determine the posture of the mold, such as Figure 5 As shown in the figure, if D>0, it means that the detection point (external point) is on the left side of the reference line L, that is, the plane where the detection point (external point) is located is tilted backwards; if D<0, it means that the detection point (external point) is on the right side of the reference line L, that is, the plane where the detection point (external point) is located is tilted forward. According to the direction of L and the value of D, the mold posture can be quickly and accurately determined, thereby effectively guiding the construction and achieving the purpose of quality inspection.

[0055] In practical applications, in order to improve the detection efficiency, the present invention imports the collected plane coordinates into a table with a well-programmed calculation program, such as Figure 6 As shown, the equation of the straight line and the horizontal distance from the point to the straight line are solved in turn, so as to calculate the verticality of the steel end mold, and then accept the mold and guide the construction.

[0056] In addition to importing coordinate data into a table for easy editing, storage and management, the on-site combination of the programming and calculation functions of smartphones can more efficiently obtain test results, further greatly improving efficiency. Figure 7 As shown, on the left, the edited point-to-straight-line distance formula is stored using the smartphone programming function, and on the right, the collected reference line starting point (point O) and end point (point P) coordinates are entered in sequence, and then the detection point (external point) coordinates are entered, and "Calculate" is clicked to get the result.

[0057] The present invention can adapt to various complex working conditions. When the on-site detection surface is blocked by foreign objects and the instrument cannot be set up well (it is impossible to place detection tools such as rulers, squares, plumb bobs, etc.), or the space is narrow and it is inconvenient for detection personnel to enter, or there is no suitable station to set up the total station, etc., the difficulty of verticality detection using existing technology will be doubled. Figure 8 As shown in the figure, for installing the steel end mold, the three people standing position belongs to the internal area of ​​the mold. When the steel end mold is initially installed, the steel cage is hoisted in and the mold is closed. At this time, personnel will not be able to enter, let alone set up a total station or place plumb bobs, rulers and other related detection tools inside. If it is necessary to detect the verticality of the inner plane of the steel end mold, it cannot be completed using the existing technology. At this time, the method of the present invention can cleverly realize the verticality detection. The area where the three people stand is equivalent to Fig. 9 The area to the left of the magnetic prism is the verticality detection surface. When the steel bar cage mold is closed, just set up the total station. Fig. 9 The right side of the middle magnetic prism, that is, the appropriate place on the back of the mold, is leveled and freely oriented. The magnetic prism is horizontally rotated to align with the direction of the total station and then the coordinates are collected. The coordinates of the remaining points are collected at the same station and then calculated, which greatly reduces the difficulty of detection of complex working conditions.

[0058] At the same time, the present invention can also select a total station reflective patch or a total station prism-free function to collect coordinates according to the different materials of the mold or the object, so as to meet the required measurement accuracy requirements.

[0059] Embodiment 2:

[0060] This embodiment provides a large mold verticality rapid detection system, including:

[0061] An arrangement module is used to arrange multiple inspection points on the surface of the mold to be inspected, and select two inspection points at the two ends at the bottom to connect them as a reference line L;

[0062] The total station is set up in front of the mold surface to be inspected, and its magnetic prism is placed on the two inspection points selected by the layout module to collect the plane coordinate information of each inspection point;

[0063] A calculation module, used to calculate the straight line equation of the reference line L according to the plane coordinates of the two selected detection points, and then determine the distance formula from the point to the line plane according to the straight line equation of the reference line L, and calculate the plane distances from the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points;

[0064] The verticality judgment module is used to judge whether the verticality of the mold surface to be inspected meets the requirements based on the size relationship between the plane distance data from the remaining inspection points to the reference line L and the preset verticality value.

[0065] Furthermore, it also includes a posture judgment module for determining the distance between the point and the line plane according to the formula Get the formula Then, according to the plane coordinates of the remaining detection points combined with the formula Quickly determine the posture of the mold.

[0066] Embodiment 3:

[0067] A storage medium stores a program, and when the program is executed by a processor, the large mold verticality rapid detection method described in Example 1 is implemented.

[0068] Embodiment 4:

[0069] A computing device includes a processor and a memory for storing a program executable by the processor. When the processor executes the program stored in the memory, the large mold verticality rapid detection method described in Example 1 is implemented.

[0070] The above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical solution and invention concept of the present invention within the scope disclosed by the present invention, which shall fall within the protection scope of the present invention.

Claims

1. A method for quickly detecting the verticality of a large mold, characterized in that: Including steps, S1. Arrange multiple inspection points on the surface of the mold to be inspected, select two inspection points at the two ends at the bottom and connect them as the reference line L; S2. Set up a total station at a preset position in front of the mold, and place the magnetic prisms of the total station at the two selected detection points; S3, using a total station to collect the plane coordinates of the two selected detection points, calculating the linear equation of the reference line L according to the plane coordinates, and determining the distance formula from the point to the line plane according to the linear equation of the reference line L; S4. Using a total station to collect the plane coordinates of the remaining detection points, and calculating the plane distances of the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points and the point-to-line plane distance formula; S5. According to the relationship between the plane distance data from the remaining inspection points to the reference line L and the preset verticality value, determine whether the verticality of the mold surface to be inspected meets the requirements.

2. The large mold verticality rapid detection method according to claim 1 is characterized in that: In step S1, multiple inspection points are arranged at the upper, middle and lower parts of the mold surface to be inspected, two inspection points located at the two ends of the lower part of the mold surface to be inspected are selected, and the line connecting the two inspection points is used as the reference line L, and the two inspection points are used as the starting point and end point of the reference line L respectively.

3. The large mold verticality rapid detection method according to claim 1 is characterized in that: In step S3, the plane coordinates of the two selected detection points are collected by the total station, and the linear equation of the reference line L is calculated according to the plane coordinates AX+BY+C=0, where A, B, and C are coefficients, and X and Y are the horizontal and vertical coordinates of any point on the line, respectively. The point-to-line plane distance formula is determined according to the linear equation of the reference line L: Among them, X0 and Y0 are the horizontal and vertical coordinates of any point respectively.

4. The large mold verticality rapid detection method according to claim 1 is characterized in that: In step S5, if the plane distance data from the remaining detection points to the reference line L is less than the preset verticality value, the verticality of the mold surface to be detected meets the requirement.

5. The large mold verticality rapid detection method according to claim 1 is characterized in that: In step S5, according to the point-to-line plane distance formula Get the formula Among them, A, B, and C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point respectively, and the plane coordinates of the remaining detection points are combined with the formula Quickly determine the posture of the mold. If D>0, it means that the detection point is on the left side of the reference line L, that is, the plane where the detection point is located is tilted backward. If D<0, it means that the detection point is on the right side of the reference line L, that is, the plane where the detection point is located is tilted forward.

6. A large mold verticality rapid detection system, characterized in that: include, An arrangement module is used to arrange multiple inspection points on the surface of the mold to be inspected, and select two inspection points at the two ends at the bottom to connect them as a reference line L; The total station is set up in front of the mold surface to be inspected, and its magnetic prism is placed on the two inspection points selected by the layout module to collect the plane coordinate information of each inspection point; A calculation module, used to calculate the straight line equation of the reference line L according to the plane coordinates of the two selected detection points, and then determine the distance formula from the point to the line plane according to the straight line equation of the reference line L, and calculate the plane distances from the remaining detection points to the reference line L according to the plane coordinates of the remaining detection points; The verticality judgment module is used to judge whether the verticality of the mold surface to be inspected meets the requirements based on the size relationship between the plane distance data from the remaining inspection points to the reference line L and the preset verticality value.

7. The large mold verticality rapid detection system according to claim 6 is characterized in that: It also includes a posture judgment module for calculating the distance between the point and the line plane according to the formula Get the formula Among them, A, B, and C are coefficients, X0 and Y0 are the horizontal and vertical coordinates of any point, respectively, and then according to the plane coordinates of the remaining detection points combined with the formula Quickly determine the posture of the mold.

8. A storage medium storing a program, characterized in that: When the program is executed by a processor, the large mold verticality rapid detection method according to any one of claims 1 to 5 is implemented.

9. A computing device comprising a processor and a memory for storing a program executable by the processor, characterized in that: When the processor executes the program stored in the memory, the large mold verticality rapid detection method according to any one of claims 1 to 5 is implemented.

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