Verticality stacking method for large high-speed rotary equipment based on datum transformation

Abstract

A method for stacking verticality of large-scale high-speed rotating equipment based on reference transformation relates to the technical field of precision assembly of large-scale high-speed rotating equipment. The method solves the problem that verticality deviation occurs after assembly of large-scale high-speed rotating equipment, which leads to an increase in the failure rate of large-scale high-speed rotating equipment. The method comprises the following steps: establishing a three-dimensional coordinate system transformation relationship and a transformation matrix; substituting the three-dimensional coordinate system transformation relationship into the transformation matrix to obtain a multi-stage rotor verticality prediction model; according to the multi-stage rotor verticality prediction model, obtaining the normal vector of the verticality reference plane and the normal vector of the highest-level rotor axial measurement surface, and performing reference transformation on the normal vector of the verticality reference plane and the normal vector of the highest-level rotor axial measurement surface and substituting them into the multi-stage rotor verticality prediction model to obtain a large-scale high-speed rotating equipment verticality control model, and guiding assembly according to the model. The present invention is suitable for the assembly of large-scale high-speed rotating equipment.

Description

Technical Field

[0001] The invention relates to the technical field of precision assembly of large-scale high-speed rotary equipment. Background Art

[0002] Many large-scale high-speed rotating equipment are mostly composed of multi-stage rotor stacking assemblies, and the degree of assembly accuracy has an extremely important impact on the final working performance of large-scale high-speed rotating equipment. The verticality error of large-scale high-speed rotating equipment after multi-stage rotor assembly is an important parameter for evaluating the assembly quality of large-scale high-speed rotating equipment. The verticality deviation will directly affect whether the large-scale high-speed rotating equipment can work normally, and even cause failures. Therefore, reducing the verticality error after multi-stage rotor assembly plays a vital role in reducing the incidence of failures of large-scale high-speed rotating equipment. Establishing a verticality prediction model for multi-stage rotor stacking assembly can realize the function of guiding assembly and avoid the problem of repeated disassembly and assembly due to verticality deviation after multi-stage rotor assembly. The existing verticality prediction model for multi-stage rotor stacking assembly can realize the prediction of the verticality error after multi-stage rotor assembly, but due to the lack of consideration of the actual assembly process, it lacks a certain degree of authenticity in guiding assembly. Summary of the Invention

[0003] The present invention provides a large-scale high-speed rotary equipment verticality stacking method based on datum transformation, which solves the problem that large-scale high-speed rotary equipment has verticality deviation after assembly, resulting in an increased failure rate of large-scale high-speed rotary equipment.

[0004] To achieve the above object, the present invention provides the following solutions:

[0005] A verticality stacking method for large-scale high-speed rotary equipment based on datum transformation, the method is as follows:

[0006] S1. According to the assembly order of the rotors, coordinate transformation is performed from a coordinate system centered on the center of the bottom assembly surface of the lowest rotor to a coordinate system centered on the center of the assembly surface of the highest rotor, to establish a three-dimensional coordinate system transformation relationship;

[0007] S2, establish a transformation matrix;

[0008] S3. Substituting the three-dimensional coordinate system transformation relationship into the transformation matrix to obtain a multi-stage rotor verticality prediction model h;

[0009] S4. Obtaining a normal vector P of a verticality reference plane and a normal vector Q of an axial measurement surface of a highest-stage rotor according to the multi-stage rotor verticality prediction model;

[0010] S5. Establishing a reference transformation matrix;

[0011] S6. Performing a reference transformation on the normal vector P of the verticality reference plane to obtain a reference-transformed normal vector P′ of the verticality reference plane;

[0012] S7, performing a reference transformation on the normal vector Q of the highest-order rotor axial measurement surface to obtain a reference-transformed normal vector Q′ of the highest-order rotor axial measurement surface;

[0013] S8. Substitute the normal vector P′ of the reference plane of the verticality of the reference transformation and the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation into the multi-stage rotor verticality prediction model to obtain the large-scale high-speed rotating equipment verticality control model h′.

[0014] Furthermore, in another preferred embodiment, the three-dimensional coordinate system transformation relationship in the above step S1 is expressed as:

[0015]

[0016] Where: T 0-n Transform the rotor coordinate system from OXYZ to O n X n Y n Z n The transformation matrix, T i (i=1,2,…,n) is the i-th rotor coordinate system composed of O iA X iA 'Y iA ′Z iA 'Rotate to O iA X iA ″Y iA ″Z iA The rotation matrix of ″, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix of .

[0017] Furthermore, in another preferred embodiment, the transformation matrix in step S2 is expressed as:

[0018]

[0019]

[0020] Where: T i is the i-th stage rotor coordinate system O iA XiA 'Y iA ′Z iA ' to O iA X iA ″Y iA ″Z iA ″Transformation matrix, θ ti is the inclination angle of the upper end surface of the i-th stage rotor relative to the lower end surface, θ li The direction of the center of the upper end surface of the i-th stage rotor pointing to the lowest sampling point and X iA The angle between the axes, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix, θ ri is the installation phase angle of the i-th stage rotor.

[0021] Furthermore, in another preferred embodiment, the multi-stage rotor verticality prediction model h in the above step S3 is expressed as:

[0022] h=2r n sinθ

[0023] in, P is the normal vector of the reference plane of verticality; Q is the normal vector of the axial measuring surface of the highest-level rotor; h is the verticality of the multi-level rotor; r n It is the radius of the highest-level rotor axial measuring surface.

[0024] Furthermore, in another preferred embodiment, the reference transformation matrix in step S5 is expressed as:

[0025]

[0026] Where: l is the rotation axis direction vector, w is the unit vector of the rotation axis direction vector, and θ is the rotation angle.

[0027] Furthermore, in another preferred embodiment, the normal vector P′ of the reference plane of the verticality of the reference transformation in step S6 is expressed as:

[0028] P'=AP

[0029] Where: A is the reference transformation matrix, and P is the normal vector of the reference plane of verticality.

[0030] Furthermore, in another preferred embodiment, the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation in step S7 is expressed as:

[0031] Q'=AQ

[0032] Where: Q is the normal vector of the highest-level rotor axial measurement surface.

[0033] Furthermore, in another preferred embodiment, the verticality control model h′ of the large-scale high-speed rotary equipment in the above step S8 is expressed as:

[0034] h'=2r n sinθ

[0035] in, P' is the normal vector of the reference plane of the verticality of the reference transformation, Q' is the normal vector of the highest-level rotor axial measurement surface of the reference transformation, r n It is the radius of the axial measuring surface of the highest-level rotor.

[0036] A computer-readable storage medium stores a computer program, which executes any one of the above methods when executed by a processor.

[0037] A computer device comprises a memory and a processor, wherein a computer program is stored in the memory, and when the processor runs the computer program stored in the memory, the processor executes any one of the methods described above.

[0038] The beneficial effects brought about by the present invention are: the present invention provides a large-scale high-speed rotating equipment verticality stacking method based on reference transformation, which solves the problem that large-scale high-speed rotating equipment has verticality deviation after assembly, resulting in an increased failure rate of large-scale high-speed rotating equipment.

[0039] Compared with the existing technology, it has the following advantages:

[0040] 1. Existing large-scale high-speed rotating equipment is composed of multi-stage rotor stacking assemblies. The verticality of the assembled multi-stage rotors is an important parameter for measuring the assembly quality of large-scale high-speed rotating equipment. When large-scale high-speed rotating equipment is in operation, vertical deviations can cause large-scale high-speed rotating equipment to malfunction. The present invention provides a large-scale high-speed rotating equipment verticality stacking method based on reference transformation. According to the method, a large-scale high-speed rotating equipment verticality control model is obtained. Assembly is guided according to the large-scale high-speed rotating equipment verticality control model, thereby solving the problem of large-scale high-speed rotating equipment having vertical deviations after assembly, which leads to an increased failure rate of large-scale high-speed rotating equipment.

[0041] 2. Existing verticality prediction models for multi-stage rotor stacking assembly can predict verticality errors after multi-stage rotor assembly, but lack consideration of the actual assembly process and are therefore ineffective in guiding assembly. The present invention provides a verticality stacking method for large-scale high-speed rotary equipment based on datum transformation. This method considers the pose transformation from the actual datum to the ideal datum, establishes a verticality control model for large-scale high-speed rotary equipment based on the actual datum, and uses this verticality control model to guide assembly, providing scientific and reliable guidance.

[0042] The invention is suitable for assembling large-scale high-speed rotating equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a method for vertically stacking large-scale high-speed rotary equipment based on reference transformation as described in Embodiment 1;

[0044] Figure 2 This is a schematic diagram of a single-stage rotor coordinate system transformation of a large-scale high-speed rotating equipment verticality stacking method based on a reference transformation as described in the first embodiment;

[0045] Figure 3 This is a schematic diagram of a reference transformation of a method for vertical stacking of large-scale high-speed rotating equipment based on reference transformation as described in Embodiment 5;

[0046] Figure 4 It is a large-scale high-speed rotating equipment verticality control model of a large-scale high-speed rotating equipment verticality stacking method based on benchmark transformation as described in Implementation Example 8. DETAILED DESCRIPTION

[0047] Implementation method 1. See Figure 1 This embodiment describes a method for vertically stacking large-scale high-speed rotary equipment based on reference transformation. The method is as follows:

[0048] S1. According to the assembly order of the rotors, coordinate transformation is performed from a coordinate system centered on the center of the bottom assembly surface of the lowest rotor to a coordinate system centered on the center of the assembly surface of the highest rotor, to establish a three-dimensional coordinate system transformation relationship;

[0049] S2, establish a transformation matrix;

[0050] S3. Substituting the three-dimensional coordinate system transformation relationship into the transformation matrix to obtain a multi-stage rotor verticality prediction model h;

[0051] S4. Obtaining a normal vector P of a verticality reference plane and a normal vector Q of an axial measurement surface of a highest-stage rotor according to the multi-stage rotor verticality prediction model;

[0052] S5. Establishing a reference transformation matrix;

[0053] S6. Performing a reference transformation on the normal vector P of the verticality reference plane to obtain a reference-transformed normal vector P′ of the verticality reference plane;

[0054] S7, performing a reference transformation on the normal vector Q of the highest-level rotor axial measurement surface to obtain a reference-transformed normal vector Q′ of the highest-level rotor axial measurement surface;

[0055] S8. Substitute the normal vector P′ of the reference plane of the verticality of the reference transformation and the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation into the multi-stage rotor verticality prediction model to obtain the large-scale high-speed rotating equipment verticality control model h′.

[0056] In actual application, according to the assembly order of the rotors, coordinate transformation is performed from a coordinate system centered on the center of the assembly surface of the bottom rotor to a coordinate system centered on the center of the assembly surface of the upper rotor. The center, X-axis, Y-axis and Z-axis of the coordinate system are transformed to establish a three-dimensional coordinate system transformation relationship, and then a transformation matrix is established. The three-dimensional coordinate system transformation relationship is substituted into the transformation matrix to obtain a multi-stage rotor verticality prediction model h. According to the multi-stage rotor verticality prediction model h, the normal vector P of the verticality reference plane and the normal vector Q of the highest-level rotor axial measurement surface are obtained, and a reference transformation matrix is established. The normal vector P of the verticality reference plane and the normal vector Q of the highest-level rotor axial measurement surface are subjected to a reference transformation to obtain the normal vector P′ of the verticality reference plane after the reference transformation and the normal vector Q′ of the highest-level rotor axial measurement surface after the reference transformation. The normal vector P′ of the verticality reference plane and the normal vector Q′ of the highest-level rotor axial measurement surface after the reference transformation are substituted into the multi-stage rotor verticality prediction model to obtain a high-speed rotating equipment verticality control model h′. Workers guide assembly according to the rotating equipment verticality control model h′ to solve the problem of large-scale high-speed rotating equipment having verticality deviation after assembly, which leads to an increased failure rate of large-scale high-speed rotating equipment.

[0057] Existing large-scale high-speed rotating equipment is composed of stacked, multi-stage rotors. The verticality of the assembled rotors is a key parameter for measuring the assembly quality of large-scale high-speed rotating equipment. Excessive verticality during operation can cause equipment failure. This embodiment provides a method for stacking large-scale high-speed rotating equipment verticality based on a benchmark transformation. This method generates a verticality control model for large-scale high-speed rotating equipment, which is used to guide assembly. This solves the problem of excessive verticality after assembly, which increases the failure rate of large-scale high-speed rotating equipment.

[0058] Implementation 2. This implementation is an example of the three-dimensional coordinate system transformation relationship of step S1 in the verticality stacking method of large-scale high-speed rotary equipment based on the reference transformation described in Implementation 1. The three-dimensional coordinate system transformation relationship is expressed as follows:

[0059]

[0060] Where: T 0-n Transform the rotor coordinate system from OXYZ to O n X n Y n Z n The transformation matrix, T i (i=1,2,…,n) is the i-th rotor coordinate system composed of O iA X iA 'Y iA ′Z iA 'Rotate to O iA X iA ″Y iA ″Z iA The rotation matrix of ″, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix of .

[0061] In practical applications, the verticality of the assembled multi-stage rotor is affected only by the angle between the axial measurement plane of the highest-stage rotor and the reference plane, and is unrelated to the coordinate system origin. Therefore, the coordinate system transformation process only considers the effects of rotational transformations, not translational transformations.

[0062] Implementation method three. See Figure 2 This embodiment is described. This embodiment is an example of the transformation matrix of step S2 in the verticality stacking method of large-scale high-speed rotary equipment based on reference transformation described in embodiment 1. The transformation matrix is expressed as:

[0063]

[0064]

[0065] Where: T i is the i-th stage rotor coordinate system O iA X iA 'Y iA ′Z iA' to O iA X iA ″Y iA ″Z iA ″Transformation matrix, θ ti is the inclination angle of the upper end surface of the i-th stage rotor relative to the lower end surface, θ li The direction of the center of the upper end surface of the i-th stage rotor pointing to the lowest sampling point and X iA The angle between the axes, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix, θ ri is the installation phase angle of the i-th stage rotor.

[0066] In practical application of this embodiment, the coordinate system transformation of the single-stage rotor is as follows: Figure 2 As shown, the coordinate system O with the center of the end face as the origin j-1 X j-1 Y j-1 Z j-1 First, the translation transformation is performed to obtain the coordinate system O with the center of the end face as the origin of the coordinate system. jA X jA 'Y jA ′Z jA ', then rotate the coordinate system O jA X jA 'Y jA ′Z jA 'Until the XOY plane coincides with the upper end surface of the rotor to obtain O jA X jA ″Y jA ″Z jA ″. Therefore, from O jA X jA 'Y jA ′Z jA ' to O jA X jA ″Y jA ″Z jA The transformation matrix of ″ is T j .

[0067] Embodiment 4. This embodiment is an example of a multi-stage rotor verticality prediction model in step S3 of a large-scale high-speed rotating equipment verticality stacking method based on a reference transformation described in embodiment 1. The multi-stage rotor verticality prediction model is expressed as:

[0068]

[0069] h=2r n sinθ

[0070] Where: P is the normal vector of the vertical reference plane; Q is the normal vector of the highest-level rotor axial measurement surface; h is the verticality of the multi-stage rotor; r n It is the radius of the axial measuring surface of the highest-level rotor.

[0071] The multi-stage rotor verticality prediction model described in this embodiment is a model of the angle between the highest-stage rotor axial measurement surface and the reference plane and the verticality error of the n-stage rotor.

[0072] Implementation method 5. See Figure 3 This embodiment is described. This embodiment is an example of the reference transformation matrix of step S5 in the verticality stacking method of large-scale high-speed rotary equipment based on reference transformation described in embodiment 1. The reference transformation matrix is expressed as:

[0073]

[0074] Where: l is the rotation axis direction vector, w is the unit vector of the rotation axis direction vector, and θ is the rotation angle.

[0075] In actual application of this embodiment, the reference axis for calculating the imbalance amount by the traditional stacking method is the ideal rotation axis, that is, the Z axis of the coordinate system with the center O of the lower end surface of the first-stage rotor as the center. However, during the operation of the aircraft engine, the actual rotation axis is the center O of the lower end surface of the first-stage rotor and the center O of the upper end surface of the highest-stage rotor. nA Connection. Figure 3 As shown, therefore, it is necessary to consider the posture transformation from the actual reference to the ideal reference on the basis of the original stacked model, and obtain the coordinates of the center of mass of each rotor in the coordinate system OX′Y′Z′. The coordinate system OX′Y′Z′ can be regarded as the coordinate system OXYZ rotating around the rotation axis where the origin O is located by θ. Let the rotation axis direction vector l be (lx,ly,lz)T, and the unit vector of this vector is The center O of the upper end face of the highest-level rotor nA The position vector in the coordinate system OXYZ with the ideal reference as the Z axis is P(O nAx ,O nAy ,O nAz ) T , in the coordinate system OX′Y′Z′ with the actual reference as the Z axis, the position vector can be expressed as Q(0,0,O nAz ') T , then the rotation axis direction vector l and the rotation angle θ are:

[0076]

[0077]

[0078] According to the direction vector l and the rotation angle θ, the reference transformation matrix can be obtained.

[0079] Embodiment 6. This embodiment is an example of the normal vector P′ of the verticality reference plane of the reference transformation in step S6 of the verticality stacking method of large-scale high-speed rotating equipment based on the reference transformation described in embodiment 1. The normal vector P′ of the verticality reference plane of the reference transformation is expressed as:

[0080] P'=AP

[0081] Where: A is the reference transformation matrix, and P is the normal vector of the reference plane of verticality.

[0082] The normal vector P of the perpendicularity reference plane described in this embodiment is an important data point for evaluating the perpendicularity of the reference plane. However, the normal vector of the perpendicularity reference plane without a benchmark transformation lacks scientific validity and may produce deviations in practical applications. Therefore, a benchmark transformation is required to obtain the normal vector P′ of the perpendicularity reference plane after the benchmark transformation.

[0083] Embodiment 7. This embodiment is an example of the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation in step S7 of the verticality stacking method of large-scale high-speed rotating equipment based on reference transformation described in embodiment 1. The normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation is expressed as:

[0084] Q'=AQ

[0085] Where: A is the reference transformation matrix, Q is the normal vector of the highest-level rotor axial measurement surface.

[0086] The normal vector Q of the highest-level rotor axial measurement surface described in this embodiment is an important data of the reference plane used to evaluate verticality. However, the normal vector of the highest-level rotor axial measurement surface that has not undergone a reference transformation lacks scientificity and will produce deviations in actual applications. Therefore, it is necessary to perform a reference transformation on the normal vector Q of the highest-level rotor axial measurement surface to obtain the normal vector Q′ of the highest-level rotor axial measurement surface after the reference transformation.

[0087] Implementation 8. See Figure 4 This embodiment is described. This embodiment is an example of the large-scale high-speed rotary equipment verticality control model h′ in step S8 of the large-scale high-speed rotary equipment verticality stacking method based on reference transformation described in embodiment 1. The large-scale high-speed rotary equipment verticality control model h′ is expressed as:

[0088]

[0089] h'=2r n sinθ

[0090] Where: P' is the normal vector of the vertical reference plane of the reference transformation, Q' is the normal vector of the highest-level rotor axial measurement surface of the reference transformation, r n It is the radius of the axial measuring surface of the highest-level rotor.

[0091] In practical application, the normal vector P′ of the reference plane of the verticality of the reference transformation and the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation are substituted into the multi-stage rotor verticality prediction model h to obtain the verticality control model h′ of large-scale high-speed rotating equipment, as shown in FIG. Figure 4 shown.

[0092] Embodiment 9. A computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to execute the method described in any one of embodiments 1 to 8.

[0093] Embodiment 10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the method described in any one of embodiments 1 to 8.

[0094] The foregoing description is merely an embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements within the spirit and principles of the present invention are intended to be encompassed by the claims of the present invention.

Claims

1. A verticality stacking method for large-scale high-speed rotary equipment based on datum transformation, characterized in that: The method is: S1. According to the assembly order of the rotors, coordinate transformation is performed from a coordinate system centered on the center of the bottom assembly surface of the lowest rotor to a coordinate system centered on the center of the assembly surface of the highest rotor, to establish a three-dimensional coordinate system transformation relationship; S2, establish a transformation matrix; The transformation matrix is expressed as: Where: T i is the i-th stage rotor coordinate system O iA X iA 'Y iA ′Z iA ' to O iA X iA ″Y iA ″Z iA ″Transformation matrix, θ ti is the inclination angle of the upper end surface of the i-th stage rotor relative to the lower end surface, θ li The direction of the center of the upper end surface of the i-th stage rotor pointing to the lowest sampling point and X iA The angle between the axes, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix, θ ri is the installation phase angle of the i-th stage rotor; S3. Substituting the three-dimensional coordinate system transformation relationship into the transformation matrix to obtain a multi-stage rotor verticality prediction model h; S4. Obtaining a normal vector P of a verticality reference plane and a normal vector Q of an axial measurement surface of a highest-stage rotor according to the multi-stage rotor verticality prediction model; S5. Establishing a reference transformation matrix; The reference transformation matrix is expressed as: Where: l is the direction vector of the rotation axis, w is the unit vector of the direction vector of the rotation axis, and θ is the rotation angle; S6. Performing a reference transformation on the normal vector P of the verticality reference plane to obtain a reference-transformed normal vector P′ of the verticality reference plane; S7, performing a reference transformation on the normal vector Q of the highest-order rotor axial measurement surface to obtain a reference-transformed normal vector Q′ of the highest-order rotor axial measurement surface; S8. Substitute the normal vector P′ of the reference plane of the verticality of the reference transformation and the normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation into the multi-stage rotor verticality prediction model to obtain the large-scale high-speed rotating equipment verticality control model h′.

2. The verticality stacking method of large-scale high-speed rotary equipment based on reference transformation according to claim 1 is characterized in that: The three-dimensional coordinate system transformation relationship in step S1 is expressed as: Where: T 0-n Transform the rotor coordinate system from OXYZ to O n X n Y n Z n The transformation matrix, T i (i=1,2,…,n) is the i-th rotor coordinate system composed of O iA X iA 'Y iA ′Z iA 'Rotate to O iA X iA ″Y iA ″Z iA The rotation matrix of ″, T (i-1)-i is the i-1th stage rotor coordinate system O (i-1)A X (i-1)A ″Y (i-1)A ″Z (i-1)A Around Z iA The axis rotates to the i-th rotor coordinate system O (i-1)B X (i-1)B Y (i-1)B Z (i-1)B The rotation matrix of .

3. The verticality stacking method of large-scale high-speed rotary equipment based on reference transformation according to claim 1 is characterized in that: The multi-stage rotor verticality prediction model h in step S3 is expressed as: in, , P is the normal vector of the vertical reference plane; Q is the normal vector of the highest-level rotor axial measurement surface, h is the verticality of the multi-stage rotor; r n It is the radius of the highest-level rotor axial measuring surface.

4. The verticality stacking method of large-scale high-speed rotary equipment based on reference transformation according to claim 1 is characterized in that: The normal vector P′ of the reference plane of the verticality of the reference transformation in step S6 is expressed as: Where: A is the reference transformation matrix, and P is the normal vector of the reference plane of verticality.

5. The verticality stacking method of large-scale high-speed rotary equipment based on reference transformation according to claim 1 is characterized in that: The normal vector Q′ of the highest-level rotor axial measurement surface of the reference transformation in step S7 is expressed as: Where: Q is the normal vector of the highest-level rotor axial measurement surface.

6. The method for vertical stacking of large-scale high-speed rotary equipment based on reference transformation according to claim 1 is characterized in that: The verticality control model h′ of the large-scale high-speed rotary equipment in step S8 is expressed as: in, , P′ is the normal vector of the vertical reference plane of the reference transformation, Q′ is the normal vector of the highest-level rotor axial measurement surface of the reference transformation, r n It is the radius of the axial measuring surface of the highest-level rotor.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, which, when executed by a processor, executes the method according to any one of claims 1 to 6.

8. A computer device comprising a memory and a processor, characterized in that: A computer program is stored in the memory. When the processor runs the computer program stored in the memory, the processor executes the method according to any one of claims 1 to 6.

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