A method, device, equipment, medium and product for determining a target device installation point

Abstract

The application discloses a kind of target equipment installation point position determination method, device, equipment, medium and product, method includes: the measuring point position information of the measuring point divided on the model of the sewing machine table to be measured, accelerometer position information of accelerometer arrangement point and allow arrangement area boundary coordinate, receive the modal vibration mode nephogram of the model of the sewing machine table to be measured after each measuring point is sequentially knocked by moving force hammer method;Based on the displacement amplitude of each measuring point in modal vibration mode nephogram, the region corresponding to the measuring point with displacement amplitude lower than pre-set threshold is marked as candidate stable region, and the candidate position coordinate set of candidate stable region is generated;According to candidate position coordinate set and allow arrangement area boundary coordinate, determine the target installation point of target equipment on the model of the sewing machine table to be measured.The installation point is determined based on the dynamics characteristics of the table itself by modal testing technology, and the installation point avoids the weak point of the structure and resonance area of the table, to ensure the objectivity and accuracy of installation point selection.

Description

Technical Field

[0001] This invention relates to the field of sewing machine technology, and in particular to a method, apparatus, equipment, medium, and product for determining the installation point of a target device. Background Technology

[0002] During operation, overlock sewing machines (also known as sergers) generate intense periodic vibrations due to the high-speed internal mechanisms (such as the needle bar mechanism, feeding mechanism, and cutting mechanism). Overlock sewing machines are typically mounted on the sewing machine table via a tray assembly; the tray assembly is installed on the table first, and then the overlock sewing machine is placed and secured to it. The machine's vibrations are transmitted to the table via the tray assembly, causing forced vibrations and resulting in table instability and an unpleasant low-frequency "humming" noise.

[0003] Overlock machines are typically installed by mounting a tray assembly on the sewing machine table and then placing the overlock machine on the tray assembly. The current tray mounting point placement is determined by engineers based on experience. Machine vibrations are transmitted to the table via the tray assembly, and the stability of the tray assembly mounting point is crucial for reducing vibrations transmitted from the machine to the table.

[0004] This method of relying on engineers' subjective judgment of installation points lacks theoretical basis, and if a weak point on the platform is selected incorrectly, it will lead to severe resonance or even breakage of the platform. Determining the optimal installation point for the pallet on the platform is currently one of the industry's challenges. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, medium, and product for determining the installation location of a target device, thereby determining the installation location through objective data of modal vibration modes, ensuring the objectivity and accuracy of the location selection.

[0006] According to one aspect of the present invention, a method for determining the installation location of a target device is provided, comprising:

[0007] The system acquires the position information of the measuring points divided on the sewing machine table model to be tested, the accelerometer position information of the accelerometer placement points, and the boundary coordinates of the allowable placement area. It also receives the modal vibration cloud map of the sewing machine table model to be tested generated after testing each of the measuring points using the moving force hammer method.

[0008] Based on the displacement amplitude of each measuring point in the modal vibration cloud map, the region corresponding to the measuring point whose displacement amplitude is lower than a preset threshold is marked as a candidate stable region, and a candidate position coordinate set of the candidate stable region is generated;

[0009] Based on the candidate location coordinate set and the boundary coordinates of the allowed arrangement area, the target installation point of the target device on the sewing machine table model to be tested is determined.

[0010] According to a second aspect of the present invention, a device for determining the installation location of a target device is provided, comprising:

[0011] The data acquisition module is used to acquire the measurement point position information of the measurement points divided on the sewing machine table model to be tested, the accelerometer position information of the accelerometer placement points, and the boundary coordinates of the allowable placement area. It also receives the modal vibration cloud map of the sewing machine table model to be tested generated after testing each of the measurement points using the moving force hammer method.

[0012] The region generation module is used to mark the regions corresponding to the measuring points whose displacement amplitudes are lower than a preset threshold as candidate stable regions based on the displacement amplitudes of each measuring point in the modal vibration cloud map, and to generate a set of candidate position coordinates for the candidate stable regions.

[0013] The point determination module is used to determine the target installation point of the target device on the sewing machine table model under test based on the candidate position coordinate set and the boundary coordinates of the allowed arrangement area.

[0014] According to a third aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the method for determining the installation location of the target device according to any embodiment of the present invention.

[0018] According to a fourth aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions, the computer instructions being configured to cause a processor to execute and implement the method for determining the installation point of a target device as described in any embodiment of the present invention.

[0019] According to a fifth aspect of the present invention, embodiments of the present invention also provide a computer program product, the computer program product including a computer program, which, when executed by a processor, implements a method for determining the installation location of a target device according to any embodiment of the present invention.

[0020] The technical solution of this invention utilizes modal testing technology to obtain modal shape cloud maps of the platform, and identifies regions with low vibration displacement through quantitative analysis of displacement amplitude. This establishes the selection of installation points based on objective data of the platform's own dynamic characteristics, fundamentally overcoming the blindness and non-transferability of experience-based point selection. By reading the displacement amplitude of each node and comparing it with a preset threshold, candidate stable regions are automatically marked and a set of position coordinates is generated. This achieves objective screening and digital characterization of regions with low vibration displacement, eliminating interference from subjective human judgment and ensuring the objectivity and accuracy of installation point selection. By determining installation points based on the platform's own dynamic characteristics using modal testing technology, the installation points avoid structural weak points and resonance regions of the platform, ensuring the objectivity and accuracy of installation point selection.

[0021] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0022] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart of a method for determining the installation location of a target device according to Embodiment 1 of the present invention;

[0024] Figure 2 This is a measurement point example diagram of a method for determining the installation location of a target device according to Embodiment 1 of the present invention;

[0025] Figure 3 This is an example of a modal shape cloud diagram of a method for determining the installation location of a target device according to Embodiment 1 of the present invention;

[0026] Figure 4 This is a schematic diagram of the intersection area of ​​a method for determining the installation location of a target device according to Embodiment 1 of the present invention;

[0027] Figure 5 This is a schematic diagram of the installation point of a method for determining the installation point of a target device according to Embodiment 1 of the present invention;

[0028] Figure 6 This is an example curve diagram from a method for determining the installation location of a target device according to Embodiment 1 of the present invention;

[0029] Figure 7 This is a schematic diagram of a device for determining the installation location of a target device according to Embodiment 2 of the present invention;

[0030] Figure 8 This is a schematic diagram of the structure of an electronic device that implements an embodiment of the present invention. Detailed Implementation

[0031] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0032] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0033] Example 1

[0034] Figure 1 This is a flowchart illustrating a method for determining the installation location of a target device according to Embodiment 1 of the present invention. This embodiment is applicable to determining the installation location of a target device indirectly connected to a platform, and can also be used to determine the connection location between the platform and the rack. This method can be executed by a device for determining the installation location of the target device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0035] S110. Obtain the measurement point location information of the measurement points divided on the sewing machine table model to be tested, the accelerometer location information of the accelerometer placement points, and the boundary coordinates of the allowable placement area. Receive the modal vibration cloud map of the sewing machine table model to be tested generated after testing each measurement point using the moving force hammer method.

[0036] In this embodiment, the measurement point location information refers to the position coordinate data of several hammer-impact measurement points divided on the surface of the sewing machine table model under test, each located in the table plane coordinate system. These measurement points are distributed along the length and width of the table, forming an excitation point array for the moving hammer modal test. The accelerometer location information refers to the position coordinate data of the measurement points selected as the installation locations of the accelerometers in the table plane coordinate system. The accelerometer placement points are distinct from the hammer-impact measurement points. Once placed at these locations, the accelerometers remain fixed throughout the modal test, collecting the vibration response signals of the table after each hammer-impact measurement point is excited. The allowable placement area boundary coordinates refer to the set of coordinate data of the physical area boundary of the tray assembly that is allowed to be installed on the table in the table plane coordinate system. This allowable placement area is jointly defined by the structural dimensions of the tray assembly, the distribution of mounting holes, and the functional partitions of the table surface.

[0037] Among them, the accelerometer placement points are the measurement points with the largest response signal amplitudes selected after the initial tapping test of the sewing machine table model under test.

[0038] The test points are arranged in a way that, based on the characteristic that the target equipment is located in the central area of ​​the sewing machine table model, dense test points are arranged in the central area of ​​the sewing machine table model, while scattered test points are arranged in the two side edge areas of the sewing machine table model.

[0039] In this embodiment, the modal shape contour map refers to the image data reflecting the spatial distribution of the vibration displacement amplitude of the plate at each natural frequency after the measuring points are struck sequentially by a moving hammer method, the vibration response signals of each measuring point are collected by an accelerometer, and then processed by modal parameter identification and data processing. Modal shape contour map data can be obtained not only through physical experiments, but also through calculation using finite element simulation technology.

[0040] Specifically, the processor can acquire a 3D model of the sewing machine table under test, import the 3D model into the corresponding analysis software (e.g., the Measurement Point Library module of ArtemiS SUITE), establish modal measurement points on the table model, and initially determine the possible dense distribution of points near the points in geometric space. This allows for the acquisition of the measurement point location information of several hammer-strike measurement points divided on the sewing machine table model, as well as the accelerometer location information of the selected accelerometer placement points through hammer testing. It can also acquire the boundary coordinates of the allowable placement area of ​​the tray assembly on the table, constraining the selection of installation points. The processor can input the acquired excitation force and response signals into the modal analysis software (e.g., the Acquisition module of ArtemiS SUITE), perform fast Fourier transform and modal parameter identification calculations, and generate a modal shape cloud map of the sewing machine table model under test.

[0041] For example, a specific example can be used to illustrate the measurement points and accelerometer placement points. Figure 2 This is an example diagram of the measuring points for a method of determining the installation location of a target device according to Embodiment 1 of the present invention. Figure 2 As shown, the number of hammer impact measurement points can be 85. The position coordinates of each measurement point are determined based on the structural characteristics of the sewing machine table model under test and the arrangement of the overlock machine. For example, the structural characteristics of the sewing machine table model under test are flat and thin, and its modal vibration mode is mainly vertical deformation. The overlock machine is mainly arranged in the central area of ​​the table. Based on this characteristic, hammer impact points are densely established in the central area of ​​the table, and impact points are dispersed in the two side edge areas of the table, for a total of 85 measurement points. The measurement point position information of each hammer impact measurement point is the position coordinate data of each measurement point in the table plane coordinate system. Preferably, the plane coordinate system is established with the geometric center of the table as the origin, and the position of each measurement point is represented by the X and Y coordinate values ​​relative to the origin. The measurement point position information is input into the computer system to generate the measurement point distribution map and the data mapping for subsequent modal analysis. For example, the accelerometer arrangement points are selected from the weak points of the table. The weak point was determined as follows: based on the stress characteristics of the platform being supported by the side frames and having relatively weak constraint in the middle, a preliminary impact test was conducted on the platform, and the measuring point with the largest response signal amplitude was selected as the weak point. The test revealed that point 48 was the weak point of the platform structure; therefore, point 48 was selected as the accelerometer placement point, as the accelerometer placed at this location can more sensitively capture the vibration mode information of the platform.

[0042] For example, a specific example can be used to illustrate the modal shape contour plot. Figure 3 This is an example of a modal shape cloud diagram for a method of determining the installation point of a target device according to Embodiment 1 of the present invention. A hammer is used to sequentially strike the test point (numbered 1 to 85) in the vertical direction of the normal plane. An accelerometer is used to collect the vibration response signal of each test point in the vertical direction. The sampling bandwidth for modal testing is set to 3000Hz, and the number of spectral lines is set to 4096 to accommodate the low-frequency vibration characteristics of the sewing machine table. The collected excitation force signal and response signal are input into modal analysis software. After fast Fourier transform and modal parameter identification calculation, a modal shape cloud diagram of the sewing machine table model under test is generated. Figure 3 As shown, the modal shape contour map contains information on the vertical displacement amplitude distribution of each node on the platform. Figure 3 The data shows that the relative magnitude of displacement is represented by a color mapping, with bright colors for areas of large deformation and dark blue for areas of low deformation.

[0043] S120. Based on the displacement amplitude of each measuring point in the modal vibration cloud map, the area corresponding to the measuring point whose displacement amplitude is lower than the preset threshold is marked as a candidate stable area, and a set of candidate position coordinates of the candidate stable area is generated.

[0044] In this embodiment, displacement amplitude refers to the maximum vertical vibration displacement of each point on the surface of the sewing machine table when it undergoes forced vibration at a certain natural frequency. This displacement amplitude is included in the modal shape contour map data and is characterized by numerical or color-coded values ​​corresponding to each node. A larger displacement amplitude indicates more severe deformation during vibration, while a smaller displacement amplitude indicates greater stability during vibration. The preset threshold is a pre-set benchmark value for displacement amplitude discrimination. The candidate stable region is a region on the table surface composed of one or more consecutive nodes with displacement amplitudes lower than the preset threshold. This region corresponds to a position on the table with smaller displacement response and lower deformation during vibration, making it suitable as a candidate region for tray assembly mounting points. The candidate position coordinate set is a set of coordinate data formed by summarizing the position coordinates of each node within the candidate stable region in the table plane coordinate system.

[0045] Specifically, since the modal shape contour map contains the vertical displacement amplitude information of each node on the platform surface, each node is associated with a displacement amplitude value or color code value. When using color coding, different colors represent different displacement amplitude levels; locations with large deformation are brightly colored, while locations with low deformation are dark blue. The processor can directly read the displacement amplitude corresponding to each node in the modal shape contour map data. The processor can compare the displacement amplitude of each node with a preset threshold one by one, extract all nodes with displacement amplitudes below the preset threshold, and group adjacent nodes among the extracted nodes into the same region. Through region connectivity analysis, one or more connected regions are marked as candidate stable regions. These locations produce the minimum vibration response when subjected to the same excitation force, making them suitable as installation locations for the tray assembly. The processor can extract the position coordinates of each node within the candidate stable region and summarize all extracted coordinates to generate a candidate position coordinate set for the candidate stable region.

[0046] S130. Based on the candidate position coordinate set and the boundary coordinates of the allowed arrangement area, determine the target installation point of the target device on the sewing machine table model to be tested.

[0047] In this embodiment, the target device refers to the device that needs to be installed on the table, such as an overlock sewing machine or a coverstitch sewing machine. The target mounting point refers to the final determined mounting location of the target device on the table.

[0048] Specifically, the processor can overlay the candidate position coordinate set with the boundary coordinates of the allowed arrangement area, and perform an intersection operation to determine the intersection area between the two. The coordinates in the intersection area are then filtered to determine the target installation point of the target device on the sewing machine table model to be tested.

[0049] The technical solution of this invention utilizes modal testing technology to obtain modal shape cloud maps of the platform, and identifies regions with low vibration displacement through quantitative analysis of displacement amplitude. This establishes the selection of installation points based on objective data of the platform's own dynamic characteristics, fundamentally overcoming the blindness and non-transferability of experience-based point selection. By reading the displacement amplitude of each node and comparing it with a preset threshold, candidate stable regions are automatically marked and a set of position coordinates is generated. This achieves objective screening and digital characterization of regions with low vibration displacement, eliminating interference from subjective human judgment and ensuring the objectivity and accuracy of installation point selection. By determining installation points based on the platform's own dynamic characteristics using modal testing technology, the installation points avoid structural weak points and resonance regions of the platform, ensuring the objectivity and accuracy of installation point selection.

[0050] Furthermore, based on the above embodiments, the steps for determining the target installation point of the target device on the sewing machine table model under test according to the candidate position coordinate set and the boundary coordinates of the allowed arrangement area can be refined as follows:

[0051] The candidate location coordinate set is superimposed with the boundary coordinates of the allowed layout area to determine the intersection area; at least one coordinate point is selected from the intersection area as a candidate installation point according to the preset rules, and the target installation point of the target device on the sewing machine table model to be tested is determined based on the position coordinates of the candidate installation point.

[0052] In this embodiment, the intersection region refers to the spatially overlapping portion of the region represented by the candidate location coordinate set and the region represented by the boundary coordinates of the allowed arrangement area. The preset rule refers to the pre-defined selection rules used to select coordinate points from the intersection region as candidate installation points. The preset rule includes, but is not limited to, the following methods: selecting the geometric center (centroid) of the intersection region as a candidate installation point; selecting multiple coordinate points as candidate installation points within the intersection region using uniform grid sampling; and when the intersection region contains multiple disconnected sub-regions, calculating the centroid coordinates of each disconnected sub-region to obtain multiple candidate installation points. A candidate installation point is a coordinate point selected from the intersection region according to the preset rule.

[0053] Specifically, the processor can map the candidate position coordinate set into a first spatial region in the platform plane coordinate system, and map the boundary coordinates of the allowed placement area into a second spatial region in the same coordinate system. When the candidate position coordinate set is in the form of a list of discrete node coordinates, the processor can fit the discrete nodes into one or more closed first polygonal regions. This first polygonal region represents the range of candidate stable regions on the platform where the vibration displacement amplitude is below a preset threshold. The boundary coordinates of the allowed placement area itself constitute a closed second polygonal region, which represents the allowed installation range of the tray assembly on the platform. Using a spatial geometric operation algorithm, the first and second spatial regions are compared and overlapped in the platform plane coordinate system. The common overlapping part of the two regions is calculated, and this common overlapping part is the intersection region. The processor can analyze the shape and connectivity of the intersection region. If the intersection region is a single connected region, the geometric center, i.e., the centroid coordinates, of this connected region are calculated according to preset rules, and the centroid coordinates are used as the position coordinates of the candidate installation point. The processor can filter all measurement points in the intersection area according to preset rules, and the processor can use the position coordinates of the candidate installation points as the target installation points of the target device on the platform model.

[0054] For example, a specific example can be used to illustrate the intersection region. Figure 4 This is a schematic diagram of the intersection area of ​​a method for determining the installation location of a target device according to Embodiment 1 of the present invention, as shown in the figure. Figure 4 As shown, the yellow box represents the first polygonal region formed by the candidate location coordinate set, and the blue box represents the allowed arrangement area formed by the boundary coordinates of the allowed arrangement area. There are four preset target installation points. It can be seen that the measurement points included in the intersection area are 19, 22, 73 and 76. These four candidate installation point sets are the target installation points of the target device.

[0055] The technical solution of this invention involves performing an intersection operation on the set of candidate location coordinates and the boundary coordinates of the allowed arrangement area, and selecting at least one coordinate point from the intersection area as a candidate installation point according to a preset rule. This ensures from a spatial geometry perspective that the selected installation point simultaneously satisfies both dynamic optimality and engineering feasibility constraints, thereby achieving an organic unity between structural dynamic characteristics and engineering installation constraints.

[0056] As a first optional embodiment of this embodiment, after selecting at least one coordinate point from the intersection region as a candidate installation point according to a preset rule, and determining the target installation point of the target device on the sewing machine table model to be tested based on the position coordinates of the candidate installation points, the method further includes:

[0057] Obtain the original mounting point of the sewing machine table model to be tested, and place accelerometers at the original mounting point and the target mounting point respectively; perform vibration response tests on the original mounting point and the target mounting point, obtain the acceleration response amplitude of the accelerometers, and make corrections to the target mounting point based on the acceleration response amplitude.

[0058] In this embodiment, the original mounting point can be understood as the coordinates of the tray assembly mounting hole position selected on the platform based on the engineer's personal experience before this method was adopted. The acceleration response amplitude refers to the magnitude of the vibration acceleration signal collected by the accelerometer at each mounting point.

[0059] Specifically, the processor can acquire the original mounting points of the sewing machine table model under test. Accelerometers are placed at both the original and target mounting points. A force hammer method is used to strike each mounting point in the direction perpendicular to the normal plane, applying the same magnitude of excitation force at each mounting point. The test results are acquired and compared with the original mounting point. If the comparison shows that the stability of the target mounting point is inferior to that of the original mounting point, other measuring points are selected from the intersection area. If there are no other measuring points in the intersection area, the original mounting point is used as the target mounting point.

[0060] For example, Figure 5 This is a schematic diagram of the installation point for a method of determining the installation point of a target device according to Embodiment 1 of the present invention, as shown below. Figure 5 As shown, there are four original mounting hole positions and four target mounting hole positions determined by the intersection area mentioned above.

[0061] Furthermore, based on the above embodiments, the steps of performing vibration response tests on the original installation point and the target installation point, obtaining the acceleration response amplitude of the accelerometer, and correcting the target installation point based on the acceleration response amplitude can be refined as follows:

[0062] Hammering tests were performed at both the original installation point and the target installation point to determine the amplitude of the first hammer excitation force and the amplitude of the first acceleration response of the accelerometer at the original installation point, and the amplitude of the second hammer excitation force and the amplitude of the second acceleration response of the accelerometer at the target installation point. Based on the amplitude of the first acceleration response and the amplitude of the first hammer excitation force, the first source point acceleration response curve was determined. Based on the amplitude of the second acceleration response and the amplitude of the second hammer excitation force, the second source point acceleration response curve was determined. If the peak value of the first source point acceleration response curve was higher than the peak value of the second source point acceleration response curve, no correction was made for the target installation point; otherwise, the target installation point was determined based on the measuring points in the intersection area and the original installation point.

[0063] In this embodiment, the hammer impact test refers to a test method that uses a hammer to apply transient impact excitation to each installation point to measure its vibration response characteristics. The first acceleration response amplitude refers to the amplitude of the vibration acceleration signal collected by the accelerometer placed at the original installation point during the hammer impact test. The second acceleration response amplitude refers to the amplitude of the vibration acceleration signal collected by the accelerometer placed at the target installation point during the hammer impact test. The acceleration response amplitude is expressed in units of gravitational acceleration g or m / s², and its magnitude reflects the intensity of vibration at the original installation point when excited; a larger value indicates a more unstable point, and a smaller value indicates a more stable point. The first hammer excitation force amplitude refers to the amplitude of the excitation force generated when the hammer strikes the original installation point during the hammer impact test. The second hammer excitation force amplitude refers to the amplitude of the excitation force generated when the hammer strikes the target installation point during the hammer impact test. This value is obtained directly by the force sensor built into the hammer and is expressed in Newtons (N). The source point acceleration response curve is the acceleration response transfer function curve of the installation point plotted in the frequency domain based on the ratio of the acceleration response amplitude to the hammer excitation force amplitude. The source point acceleration response curve is also known as the source point admittance (IPI) curve of the installation point. Its horizontal axis is frequency, and its vertical axis is the ratio of the acceleration response amplitude to the excitation force amplitude, i.e., the IPI value. The smaller the IPI value, the lower and more stable the vibration response at that point. In the frequency domain, IPI = A / F, where A is the acceleration response amplitude and F is the hammer excitation force amplitude.

[0064] Specifically, the accelerometer is fixed at the original installation point, and a hammer is used to strike the plane perpendicular to the normal direction of the original installation point. The excitation force signal is collected by the force sensor built into the hammer, and the vibration acceleration signal is collected by the accelerometer placed at the original installation point.

[0065] Based on the data collected from the hammer impact test, the amplitude of the first hammer excitation force and the amplitude of the first acceleration response at the original installation point are determined. The amplitude of the first hammer excitation force is extracted from the measurement signal of the force sensor, and the amplitude of the first acceleration response is extracted from the measurement signal of the accelerometer. Preferably, the original installation point is hammered multiple times, and the average value of each test result is taken as the amplitude of the first hammer excitation force and the amplitude of the first acceleration response to improve the accuracy and reliability of the data. The accelerometer is moved to the target installation point and fixed. The hammer is used to strike the target installation point in the direction perpendicular to the normal plane. The excitation force signal is collected by the force sensor built into the hammer, and the vibration acceleration signal is collected by the accelerometer placed at the target installation point. Based on the data collected from the hammer impact test, the amplitude of the second hammer excitation force and the amplitude of the second acceleration response at the target installation point are determined. The amplitude of the second hammer excitation force is extracted from the measurement signal of the force sensor, and the amplitude of the second acceleration response is extracted from the measurement signal of the accelerometer. Preferably, the target installation point is subjected to multiple hammer blows, and the average value of each test result is taken as the amplitude of the second hammer excitation force and the amplitude of the second acceleration response. The amplitude of the second hammer excitation force should be of the same order of magnitude as the amplitude of the first hammer excitation force to ensure the comparability of the excitation conditions between the two hammer blow tests. If the deviation between the amplitude of the second hammer excitation force and the amplitude of the first hammer excitation force exceeds a preset deviation range, the test data for that target installation point is discarded, and the hammer blow test is repeated.

[0066] Specifically, the processor can determine the first source point acceleration response curve and the second source point acceleration response curve based on the ratio between the acceleration response amplitude and the amplitude of the first hammer excitation force. The processor can extract the peak IPI values ​​of the first and second source point acceleration response curves across the entire frequency band. By comparing the peak values ​​of the first and second source point acceleration response curves, if the peak value of the first source point acceleration response curve is higher than that of the second source point acceleration response curve, it indicates that the target installation point has a lower and more stable vibration response under the same excitation force. In this case, no correction is made to the target installation point; the current target installation point is directly confirmed as the optimal installation point, and its position coordinates are output. If the peak value of the first source point acceleration response curve is lower than or equal to the peak value of the second source point acceleration response curve, it indicates that the vibration response peak value of the target installation point is not lower than that of the original installation point, and the stability of the target installation point is not better than the original scheme. In this case, the target installation point needs to be corrected. If there are other unselected coordinate points in the intersection area, different coordinate points are selected as new target installation points in the area according to the predetermined coordinate traversal order, and the vibration response test with the original installation point is performed again until the best installation point is selected. If all selectable coordinate points in the intersection area have been tested and none of them meet the condition that the peak value of the first source point acceleration response curve is higher than the peak value of the second source point acceleration response curve, then the original installation point is taken as the final installation point.

[0067] The technical solution of this invention forms a closed-loop verification and correction mechanism by conducting hammer tests on the original installation point and the target installation point respectively, and verifying the target installation point based on the test results, ensuring that the finally determined installation point is indeed superior to the original empirical solution in terms of vibration response characteristics.

[0068] For example, Figure 6 This is an example curve diagram from a method for determining the installation point of a target device provided in Embodiment 1 of the present invention. The diagram shows the source point acceleration response curves of the original installation hole position A1 and the target installation hole position A2 in the above example. Figure 6 As shown, the green curve represents the source point acceleration response curve of the original mounting hole A1, and the red curve represents the source point acceleration response curve of the target mounting hole A2. The horizontal axis represents frequency, and the vertical axis represents the ratio of the acceleration response amplitude to the excitation force amplitude, i.e., the IPI value. The smaller the IPI value, the lower and more stable the vibration response at that point. In the frequency domain, IPI = A / F, where A is the acceleration response amplitude and F is the amplitude of the hammer excitation force. The graph shows that the highest value of the curve at the target mounting hole A2 is lower than that at the original mounting hole A1, indicating that the new mounting point A1 is more stable.

[0069] Example 2

[0070] Figure 7 This is a schematic diagram of a device for determining the installation location of a target device according to Embodiment 2 of the present invention. Figure 7 As shown, the device includes:

[0071] Data acquisition module 71 is used to acquire the measurement point position information of the measurement points divided on the sewing machine table model to be tested, the accelerometer position information of the accelerometer placement points and the boundary coordinates of the allowable placement area, and to receive the modal vibration cloud map of the sewing machine table model to be tested generated after testing each of the measurement points by the moving force hammer method.

[0072] The region generation module 72 is used to mark the regions corresponding to the measuring points whose displacement amplitudes are lower than a preset threshold as candidate stable regions based on the displacement amplitudes of each measuring point in the modal vibration cloud map, and to generate a set of candidate position coordinates for the candidate stable regions.

[0073] The point determination module 73 is used to determine the target installation point of the target device on the sewing machine table model under test based on the candidate position coordinate set and the boundary coordinates of the allowed arrangement area.

[0074] The technical solution of this invention utilizes modal testing technology to obtain modal shape cloud maps of the platform, and identifies regions with low vibration displacement through quantitative analysis of displacement amplitude. This establishes the selection of installation points based on objective data of the platform's own dynamic characteristics, fundamentally overcoming the blindness and non-transferability of experience-based point selection. By reading the displacement amplitude of each node and comparing it with a preset threshold, candidate stable regions are automatically marked and a set of position coordinates is generated. This achieves objective screening and digital characterization of regions with low vibration displacement, eliminating interference from subjective human judgment and ensuring the objectivity and accuracy of installation point selection. By determining installation points based on the platform's own dynamic characteristics using modal testing technology, the installation points avoid structural weak points and resonance regions of the platform, ensuring the objectivity and accuracy of installation point selection.

[0075] The accelerometer placement points are the measurement points with the largest response signal amplitudes selected after the initial tapping test of the sewing machine table model under test.

[0076] The measurement points are arranged by densely arranging them in the central area of ​​the sewing machine table model, and dispersedly arranging them on both sides of the sewing machine table model, based on the characteristic that the target device is located in the central area of ​​the sewing machine table model.

[0077] Furthermore, the location determination module 73 is specifically used for:

[0078] The candidate location coordinate set is superimposed with the boundary coordinates of the allowed layout area to determine the intersection area;

[0079] At least one coordinate point is selected from the intersection area according to the preset rules as a candidate installation point, and the target installation point of the target device on the sewing machine table model to be tested is determined based on the position coordinates of the candidate installation point.

[0080] Optionally, the device also includes a position correction module.

[0081] The point correction module includes:

[0082] The first determining unit is used to obtain the original mounting point of the sewing machine table model to be tested, and to arrange accelerometers for the original mounting point and the target mounting point respectively;

[0083] The second determining unit is used to perform vibration response tests on the original installation point and the target installation point, obtain the acceleration response amplitude of the accelerometer, and correct the target installation point based on the acceleration response amplitude.

[0084] Specifically, the second determining unit is used for:

[0085] Hammering tests were performed at the original installation point and the target installation point to determine the amplitude of the first hammer excitation force and the amplitude of the first acceleration response of the accelerometer at the original installation point, and the amplitude of the second hammer excitation force and the amplitude of the second acceleration response of the accelerometer at the target installation point.

[0086] The first source point acceleration response curve is determined based on the first acceleration response amplitude and the first hammer excitation force amplitude.

[0087] The second source point acceleration response curve is determined based on the second acceleration response amplitude and the second hammer excitation force amplitude.

[0088] If the peak value of the first source point acceleration response curve is higher than the peak value of the second source point acceleration response curve, then the target installation point will not be corrected.

[0089] Otherwise, the target installation point is determined based on the measuring points in the intersection area and the original installation point.

[0090] The target device installation point determination device provided in the embodiments of the present invention can execute the target device installation point determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0091] Example 3

[0092] Figure 8A schematic diagram of an electronic device 80 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0093] like Figure 8 As shown, the electronic device 80 includes at least one processor 81 and a memory, such as a read-only memory (ROM) 82 and a random access memory (RAM) 83, communicatively connected to the at least one processor 81. The memory stores computer programs executable by the at least one processor. The processor 81 can perform various appropriate actions and processes based on the computer program stored in the ROM 82 or loaded from storage unit 88 into the RAM 83. The RAM 83 can also store various programs and data required for the operation of the electronic device 80. The processor 81, ROM 82, and RAM 83 are interconnected via a bus 84. An input / output (I / O) interface 85 is also connected to the bus 84.

[0094] Multiple components in electronic device 80 are connected to I / O interface 85, including: input unit 86, such as keyboard, mouse, etc.; output unit 87, such as various types of monitors, speakers, etc.; storage unit 88, such as disk, optical disk, etc.; and communication unit 89, such as network card, modem, wireless transceiver, etc. Communication unit 89 allows electronic device 80 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0095] Processor 81 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 81 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 41 performs the various methods and processes described above, such as the method for determining the installation location of the target device.

[0096] In some embodiments, the method for determining the target device mounting location may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 48. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 40 via ROM 42 and / or communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the method for determining the target device mounting location described above may be performed. Alternatively, in other embodiments, processor 41 may be configured to perform the method for determining the target device mounting location by any other suitable means (e.g., by means of firmware).

[0097] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0098] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0099] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0100] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0101] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0102] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0103] In one embodiment, the present invention further includes a computer program product, which includes a computer program that, when executed by a processor, implements the method for determining the installation location of the target device according to any embodiment of the present invention.

[0104] In implementing the computer program product, computer program code for performing the operations of this invention can be written in one or more programming languages ​​or a combination thereof. Programming languages ​​include object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as C or similar languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0105] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0106] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the installation location of a target device, characterized in that, include: The system acquires the position information of the measuring points divided on the sewing machine table model to be tested, the accelerometer position information of the accelerometer placement points, and the boundary coordinates of the allowable placement area. It also receives the modal vibration cloud map of the sewing machine table model to be tested generated after testing each of the measuring points using the moving force hammer method. Based on the displacement amplitude of each measuring point in the modal vibration cloud map, the region corresponding to the measuring point whose displacement amplitude is lower than a preset threshold is marked as a candidate stable region, and a candidate position coordinate set of the candidate stable region is generated; Based on the candidate location coordinate set and the boundary coordinates of the allowed arrangement area, the target installation point of the target device on the sewing machine table model to be tested is determined.

2. The method according to claim 1, characterized in that, The step of determining the target installation point of the target device on the sewing machine table model under test based on the candidate position coordinate set and the boundary coordinates of the allowed arrangement area includes: The candidate location coordinate set is superimposed with the boundary coordinates of the allowed layout area to determine the intersection area; At least one coordinate point is selected from the intersection area according to the preset rules as a candidate installation point, and the target installation point of the target device on the sewing machine table model to be tested is determined based on the position coordinates of the candidate installation point.

3. The method according to claim 2, characterized in that, After selecting at least one coordinate point from the intersection region as a candidate installation point according to a preset rule, and determining the target installation point of the target device on the sewing machine table model to be tested based on the position coordinates of the candidate installation points, the method further includes: Obtain the original mounting point of the sewing machine table model to be tested, and arrange accelerometers at the original mounting point and the target mounting point respectively; Vibration response tests are performed on the original installation point and the target installation point to obtain the acceleration response amplitude of the accelerometer, and the target installation point is corrected based on the acceleration response amplitude.

4. The method according to claim 3, characterized in that, The step of performing vibration response testing on the original installation point and the target installation point, obtaining the acceleration response amplitude of the accelerometer, and correcting the target installation point based on the acceleration response amplitude includes: Hammering tests were performed at the original installation point and the target installation point to determine the amplitude of the first hammer excitation force and the amplitude of the first acceleration response of the accelerometer at the original installation point, and the amplitude of the second hammer excitation force and the amplitude of the second acceleration response of the accelerometer at the target installation point. The first source point acceleration response curve is determined based on the first acceleration response amplitude and the first hammer excitation force amplitude. The second source point acceleration response curve is determined based on the second acceleration response amplitude and the second hammer excitation force amplitude. If the peak value of the first source point acceleration response curve is higher than the peak value of the second source point acceleration response curve, then the target installation point will not be corrected. Otherwise, the target installation point is determined based on the measuring points in the intersection area and the original installation point.

5. The method according to claim 1, characterized in that, The accelerometer placement points are the measurement points with the largest response signal amplitude selected after the initial tapping test of the sewing machine table model under test.

6. The method according to claim 1, characterized in that, The measurement points are arranged in a way that, based on the characteristic that the target device is located in the central area of ​​the sewing machine table model, the measurement points are densely arranged in the central area of ​​the sewing machine table model and dispersedly arranged in the two side edge areas of the sewing machine table model.

7. A device for determining the installation location of a target device, characterized in that, include: The data acquisition module is used to acquire the measurement point position information of the measurement points divided on the sewing machine table model to be tested, the accelerometer position information of the accelerometer placement points, and the boundary coordinates of the allowable placement area. It also receives the modal vibration cloud map of the sewing machine table model to be tested generated after testing each of the measurement points using the moving force hammer method. The region generation module is used to mark the regions corresponding to the measuring points whose displacement amplitudes are lower than a preset threshold as candidate stable regions based on the displacement amplitudes of each measuring point in the modal vibration cloud map, and to generate a set of candidate position coordinates for the candidate stable regions. The point determination module is used to determine the target installation point of the target device on the sewing machine table model under test based on the candidate position coordinate set and the boundary coordinates of the allowed arrangement area.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for determining the installation location of the target device as described in any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for determining the installation location of the target device as described in any one of claims 1-6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the method for determining the installation location of the target device according to any one of claims 1-6.

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