Floating slab vibration isolator supporting state detection method, system and equipment and storage medium

Abstract

The embodiment of the invention relates to the technical field of rail transit, and discloses a floating slab vibration isolator supporting state detection method, system and equipment and a storage medium, and the method comprises the steps: obtaining the measurement data of a plurality of vibration measurement devices which are arranged on the top surface of a floating slab at equal intervals along the longitudinal direction of a rail, a plurality of vibration isolators for supporting the floating slab are arranged at the bottom of the floating slab, a vibration measuring device is arranged right above each vibration isolator, and at least one vibration measuring device is arranged between every two vibration isolators; determining modal information of each measurement point on the floating slab based on measurement data by taking the position of the vibration measurement device as the measurement point; calculating the modal curvature of each measuring point of the floating slab based on the modal information; calculating local information entropies of the measuring points in sequence based on the modal curvature of each measuring point of the floating slab; and detecting the supporting state of the vibration isolator corresponding to the measuring point based on the local information entropy. By means of the mode, efficient and accurate detection of the supporting state of the vibration isolator is achieved, and operation is flexible, easy and convenient.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of rail transit technology, specifically to a method, system, device, and storage medium for detecting the support status of a floating slab vibration isolator. Background Technology

[0002] In urban rail transit, poor wheel-rail interaction can easily cause swaying and vibration, which not only exacerbates damage to vehicles and tracks but also transmits vibrations to surrounding buildings through the soil, causing inaccuracies in precision instruments used in research institutions. Furthermore, for some important historical buildings, rail transit vibrations can negatively impact their structural stability and durability. Currently, while ensuring train safety and comfort, urban rail transit employs numerous vibration reduction measures to minimize its environmental impact during operation. Based on their vibration reduction effectiveness, track structures are categorized into three types: medium, high, and special. Medium-level vibration-reducing track structures typically utilize elastic sleepers, high-level structures use trapezoidal sleepers, and special-level structures employ floating slab track beds. Floating slab track beds utilize vibration isolators, allowing the track bed to move inertially on an elastic body to isolate and attenuate vibrations generated by train operation on the foundation. Floating slab track beds offer excellent vibration reduction, achieving reductions of over 15 dB. Floating slabs, when used in urban rail transit, can effectively reduce secondary vibrations to the environment caused by subway vehicles during operation, and are widely used in subway sections with high vibration reduction requirements.

[0003] Taking steel spring floating slabs as an example, with increasing operating time, vibration isolators will suffer damage under vehicle loads and environmental influences, mainly manifested as steel spring breakage, steel spring performance degradation, and damping fluid leakage. Simultaneously, poor construction quality can lead to gaps between the steel spring isolators and the track. This results in decreased uniformity and integrity of the steel spring floating slab's stiffness, a significant reduction in vibration damping capacity, and also affects driving safety and accelerates the aging of rail system components. Therefore, it is necessary to inspect the support condition of the steel spring isolators. Since steel spring isolators are relatively concealed, their support condition cannot be judged visually.

[0004] Existing technologies assess the support status of steel spring isolators from multiple data dimensions. One method involves pre-installing acoustic signal-based damage identifiers on the steel spring isolators, but this is difficult and labor-intensive for steel spring floating slabs already in operation. Another method uses dynamic quality assessment for urban rail transit track beds based on displacement data, but its ability to characterize the support status of steel spring isolators is insufficient, failing to accurately assess minute changes in their support status. Yet another approach uses machine learning for support status assessment, but the diverse types of steel spring floating slabs in urban rail transit require classification learning, and machine learning demands a large amount of data for training, which is difficult to obtain in practical applications. Therefore, there is an urgent need for a flexible, simple, efficient, and accurate method for detecting the support status of isolators. Summary of the Invention

[0005] In view of the above problems, embodiments of the present invention provide a method, system, device and storage medium for detecting the support status of a floating plate vibration isolator, which is used to solve the problems existing in the prior art.

[0006] According to one aspect of the present invention, a method for detecting the support status of a floating slab vibration isolator is provided, the method comprising: Acquire measurement data from multiple vibration measuring devices, wherein multiple vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating plate, and multiple vibration isolators supporting the floating plate are provided at the bottom of the floating plate. Each vibration isolator is provided with a vibration measuring device directly above it, and at least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. Using the location of the vibration measuring device as the measuring point, the modal information of each measuring point on the floating plate is determined based on the measurement data; The modal curvature of each measuring point on the floating plate is calculated based on the modal information; The local information entropy of each measuring point is calculated sequentially based on the modal curvature of each measuring point on the floating plate. The support status of the vibration isolator corresponding to the measuring point is detected based on the local information entropy.

[0007] In one alternative approach, calculating the modal curvature of each measuring point of the floating plate based on the modal information includes: Obtain the distance between any two adjacent measuring points, and based on the distance and the modal information, calculate the modal curvature of each measuring point of the floating plate using the central difference method: , in, For the modal curvature, For measuring points of First-order modal information, The distance between any two adjacent measuring points is denoted as .

[0008] In one optional approach, the step of sequentially calculating the local information entropy of the measuring points based on the modal curvature of each measuring point on the floating plate includes: Construct a sliding window of a preset length, and determine the target measurement point and at least two measurement points adjacent to the target measurement point based on the sliding window; During the sliding window process, the local information entropy of each target measuring point is calculated sequentially based on the modal curvature of all measuring points in the sliding window.

[0009] In one alternative approach, the step of sequentially calculating the local information entropy of the measuring points based on the modal curvature of each measuring point on the floating plate further includes: The local information entropy of the target measurement point in the sliding window is calculated using a predetermined formula, which is: , Where P is the local information entropy, and n is the number of measurement points adjacent to the target measurement point in the sliding window.

[0010] In one alternative approach, detecting the support state of the vibration isolator corresponding to the measuring point based on the local information entropy includes: The local information entropy is normalized to obtain the normalized local information entropy. If the normalized local information entropy is greater than a preset threshold, it is determined that the support state of the vibration isolator corresponding to the measuring point is poor. If the normalized local information entropy is less than or equal to the preset threshold, it is determined that the support status of the vibration isolator corresponding to the measuring point is good.

[0011] In one alternative approach, the method further includes: determining the identifier of the vibration measuring device corresponding to the measuring point, and associating and visualizing the measuring point, the identifier of the vibration measuring device, and the support status of the vibration isolator.

[0012] According to another aspect of the present invention, a floating slab vibration isolator support status detection system is provided. The system includes a plurality of vibration measuring devices and an integrated processor. The plurality of vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating slab. The bottom of the floating slab is provided with a plurality of vibration isolators supporting the floating slab. A vibration measuring device is provided directly above each vibration isolator. At least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. The vibration measuring device is used to measure and obtain measurement data; The integrated processor is used to acquire measurement data from multiple vibration measuring devices, taking the location of the vibration measuring device as the measuring point, and determining the modal information of each measuring point on the floating plate based on the measurement data; calculating the modal curvature of each measuring point on the floating plate based on the modal information; sequentially calculating the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate; and detecting the support state of the vibration isolator corresponding to the measuring point based on the local information entropy.

[0013] In one alternative approach, the vibration measuring device is an acceleration sensor or a laser vibration meter, and the vibration isolator is a steel spring vibration isolator or a rubber vibration isolator.

[0014] According to another aspect of the present invention, a computer device is provided, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus; the memory is used to store at least one executable instruction, wherein the executable instruction causes the processor to perform the method described above.

[0015] According to another aspect of the present invention, a computer-readable storage medium is provided, the storage medium storing at least one executable instruction, which, when executed on a computer device, causes the computer device to perform the method described above.

[0016] In this embodiment of the invention, multiple vibration measuring devices are evenly spaced along the longitudinal direction of the track on the top surface of the floating slab. Multiple vibration isolators are located at the bottom of the floating slab, with a vibration measuring device positioned directly above each isolator. At least one vibration measuring device is positioned between every pair of isolators. By acquiring measurement data from multiple vibration measuring devices, and using the location of each device as a measuring point, modal information for each measuring point on the floating slab is determined based on the measurement data. The modal curvature of each measuring point on the floating slab is calculated based on the modal information. The local information entropy of each measuring point is then calculated sequentially using the modal curvature. This embodiment demonstrates that the local information entropy calculated using modal curvature has high sensitivity. Therefore, the support state of the vibration isolators can be accurately detected using local information entropy. Furthermore, it eliminates the need to install sensors on existing vibration isolators or collect large amounts of data for training. The operation is flexible, simple, and efficient, requiring only a single measurement to detect the support state of the vibration isolators.

[0017] The above description is merely an overview of the technical solutions of the embodiments of the present invention. In order to better understand the technical means of the embodiments of the present invention and to implement them in accordance with the contents of the specification, and to make the above and other objects, features and advantages of the embodiments of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0018] The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1 A flowchart illustrating the floating slab vibration isolator support status detection method provided in an embodiment of the present invention is shown. Figure 2 An environmental schematic diagram of the floating plate vibration isolator support status detection method provided in an embodiment of the present invention is shown; Figure 3 This diagram illustrates the layout of measuring points and vibration isolators in the floating slab vibration isolator support status detection method provided in this embodiment of the invention. Figure 4 This diagram illustrates the sliding of the sliding window in the floating plate vibration isolator support state detection method provided in an embodiment of the present invention. Figure 5 A schematic diagram of the floating plate vibration isolator support status detection system provided in an embodiment of the present invention is shown. Figure 6 A schematic diagram of the structure of a computer device provided in an embodiment of the present invention is shown. Detailed Implementation

[0019] Exemplary embodiments of the invention will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be implemented in various forms and should not be limited to the embodiments set forth herein.

[0020] like Figure 1 As shown, Figure 1 A schematic flowchart of a floating slab vibration isolator support status detection method provided in an embodiment of the present invention is shown. The detection method includes the following steps: Step 101: Obtain measurement data from multiple vibration measuring devices. The multiple vibration measuring devices are arranged at equal intervals along the longitudinal direction of the track on the top surface of the floating plate. The bottom of the floating plate is provided with multiple vibration isolators supporting the floating plate. Each vibration isolator is provided with a vibration measuring device directly above it. At least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. A vibration measuring device is used to measure or sense vibration-related data of the floating slab. The device can be an accelerometer, a laser vibrometer, or other suitable equipment. The accelerometer or laser vibrometer measures vibration and displacement data, including vibration frequency and amplitude. In this embodiment, since the vibration isolator has the greatest impact on the modal information directly above its support point when in a supported state, a vibration measuring device is installed directly above the vibration isolator according to the floating slab design. The measurement data from the vibration measuring device is selected from the vertical direction. Preferably, the vibration isolator can be a steel spring vibration isolator or a rubber vibration isolator, suitable for track floating slabs.

[0021] like Figure 2 As shown, the track is located on the top surface of the floating slab, and includes two parallel steel rails. The vibration measuring device also includes two rows, which are also located on the top surface of the floating slab and can be arranged in parallel. Figure 2 and Figure 3 As shown, the vibration isolators also include two rows, which are arranged parallel to each other along the longitudinal direction of the track at the bottom of the floating plate and support the floating plate. A vibration measuring device is installed directly above each vibration isolator to measure accurate data. There is at least one vibration measuring device between every pair of vibration isolators in the same longitudinal direction. The number of vibration measuring devices is greater than the number of vibration isolators. The support status of the vibration isolators is detected by the data measured by the vibration measuring devices.

[0022] Step 102: Using the location of the vibration measuring device as the measuring point, determine the modal information of each measuring point on the floating plate based on the measurement data; Modal information is a set of structural dynamic characteristic parameters obtained through modal analysis using the aforementioned measurement data. For example, modal information can be obtained from the aforementioned displacement data or acceleration response. Modal information includes at least modal displacements and mode shapes. The aforementioned measurement data can be input into predetermined modal and dynamic analysis software to obtain modal information for each measuring point of the floating slab. Existing modal and dynamic analysis software can be used.

[0023] like Figure 3 As shown, two rows of vibration measuring devices are arranged parallel to each other and at equal intervals on the top surface of the floating plate. The position of each vibration measuring device is a measuring point. In order to obtain sufficient modal information, there is at least one measuring point between each pair of vibration isolators. There can be one, two, three or more measuring points between each pair of vibration isolators, as long as the measuring points are arranged at equal intervals.

[0024] Step 103: Calculate the modal curvature of each measuring point of the floating plate based on the modal information; In this embodiment, modal curvature is the core parameter of curvature modal analysis. It refers to the curvature change of a structure during bending vibration, reflecting the local dynamic characteristics of the bending vibration structure. It characterizes the characteristic deformation mode of the neutral plane (the plane without strain during bending deformation), and describes the curvature distribution of the structure during bending vibration through modal curvature mode shapes. Preferably, this embodiment obtains the modal curvature of each measuring point on the floating plate based on modal information and using the central difference method. Specifically, calculating the modal curvature of each measuring point on the floating plate based on the modal information includes: obtaining the distance between any two adjacent measuring points, and calculating the modal curvature of each measuring point on the floating plate based on the distance, the modal information, and the central difference method. , in, For the modal curvature, For measuring points of First-order modal information, The distance between any two adjacent measuring points is j-1, which is the preceding measuring point adjacent to measuring point j, and j+1 is the following measuring point adjacent to measuring point j.

[0025] The modal information data of the floating plate is extensive, and the modal information of the first i orders can be selected according to actual needs. Optionally, in order to avoid data misjudgment, the modal order i should not be too large. Preferably, the value of i is in the range of 1-10.

[0026] In this embodiment, when the support state of a local vibration isolator changes, it will cause the mode shape to exhibit singular characteristics and become less smooth. The support state can be detected by the difference in modal curvature before and after the change in the support state of the vibration isolator. However, in practical applications, it is impossible to obtain the modal curvature before the change in the support state. And the modal curvature after the change in the support state alone cannot be used to evaluate the support state of the vibration isolator. Therefore, it is necessary to further construct local information entropy for detection.

[0027] Step 104: Calculate the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate; Information entropy has a good ability to characterize information changes. The change in the support state of the vibration isolator also reflects the local characteristics of the structure. However, information entropy is the overall parameter of the structure, reflecting the overall characteristics of the structure. For continuously distributed information sources, its information entropy can be represented by a probability density function. However, when using the overall probability to describe the information entropy of the structural damage location in this embodiment, the boundary damage information will be masked, and the vibration isolator damage cannot be accurately detected. Therefore, this embodiment uses local information entropy to describe the information change of the measuring point. Local information entropy describes the measurement of the amount of information in a local area.

[0028] Preferably, the local information entropy of each measuring point is calculated sequentially based on the modal curvature of each measuring point on the floating plate, including: A sliding window of a preset length is constructed, and a target measurement point and at least two adjacent measurement points are determined based on the sliding window. During the sliding process of the sliding window, the local information entropy of each target measurement point is calculated sequentially based on the modal curvature of all measurement points in the sliding window.

[0029] In this embodiment, the sliding window of the preset length can be a sliding window containing three or more measuring points, and the target measuring point is the measuring point located in the middle position of the sliding window. Preferably, as follows... Figure 4 As shown, the preset length sliding window contains three measuring points. The target measuring point is the measuring point in the middle of the sliding window, and the two measuring points adjacent to the target measuring point are its preceding and following measuring points. Figure 4 In the middle, the sliding window slides to the right one measurement point at a time. Each time the sliding window slides once, the local information entropy of the corresponding target measurement point can be calculated based on the modal curvature of all measurement points in the sliding window.

[0030] Preferably, calculating the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate further includes: The local information entropy of the target measurement point in the sliding window is calculated using a predetermined formula, which is: , Where P is the local information entropy, and n is the number of measurement points adjacent to the target measurement point in the sliding window.

[0031] In this embodiment, when calculating the local information entropy of the target measuring point, adjacent measuring points are used as auxiliary measuring points to calculate the local probability of the target measuring point. The local probability of the target measuring point represents the ratio of the information content of the target measuring point to the sum of the information content of its adjacent measuring points, indicating the degree of information disorder of the target measuring point. This local probability is used as the local information entropy. As the sliding window moves, the local information entropy of each target measuring point can be calculated.

[0032] Step 105: Detect the support status of the vibration isolator corresponding to the measuring point based on the local information entropy.

[0033] This embodiment utilizes local information entropy calculated based on modal curvature, which exhibits high sensitivity and can better characterize the support state of the vibration isolator. When the vibration isolator's support state is poor or abnormal, the modal curvature will become uneven at that point, causing the local information entropy calculated based on modal curvature to exhibit characteristic values, and the vibration reduction capability of the vibration isolator will significantly decrease. Poor or abnormal vibration isolator support states include insufficient stiffness (e.g., broken or degraded steel springs), gaps between the isolator and the floating plate, and leakage of damping fluid.

[0034] The detection of the support state of the vibration isolator corresponding to the measuring point based on the local information entropy includes: The local information entropy is normalized to obtain the normalized local information entropy. If the normalized local information entropy is greater than a preset threshold, it is determined that the support state of the vibration isolator corresponding to the measuring point is poor. If the normalized local information entropy is less than or equal to the preset threshold, it is determined that the support status of the vibration isolator corresponding to the measuring point is good.

[0035] In this embodiment, to better determine the support status of the vibration isolator, the local information entropy is normalized using Min-Max, scaling it to the [0,1] interval. When the normalized local information entropy of the measuring point directly above the vibration isolator is greater than a preset threshold, the vibration isolator is judged to be in poor support condition and should be maintained and repaired promptly. When the normalized local information entropy of the measuring point directly above the vibration isolator is less than or equal to the preset threshold, the vibration isolator is judged to be in good support condition.

[0036] In an optional embodiment, the method further includes: determining the identifier of the vibration measuring device corresponding to the measuring point, and associating and visualizing the measuring point, the identifier of the vibration measuring device, and the support status of the vibration isolator.

[0037] In this embodiment, each vibration measuring device has a unique identifier. The corresponding vibration measuring device can be identified through a one-to-one correspondence between measuring points and the devices. Each vibration isolator has a vibration measuring device located directly above it. When the local information entropy of a measuring point indicates poor or abnormal support status of the corresponding vibration isolator, the location of the vibration isolator can be determined through the vibration measuring device corresponding to that point, allowing for further on-site inspection or maintenance. This embodiment can also associate and visualize the identifiers of the measuring points and vibration measuring devices with the support status of the vibration isolators, enabling visualization of the support status for easy viewing.

[0038] In this embodiment, multiple vibration measuring devices are evenly spaced along the longitudinal direction of the track on the top surface of the floating slab. Multiple vibration isolators are located at the bottom of the floating slab, with a vibration measuring device positioned directly above each isolator. At least one vibration measuring device is positioned between every pair of isolators. By acquiring measurement data from multiple vibration measuring devices, and using the location of each device as a measuring point, the modal information of each measuring point on the floating slab is determined based on the measurement data. The modal curvature of each measuring point on the floating slab is calculated based on the modal information. The local information entropy of each measuring point is then calculated sequentially using the modal curvature. The local information entropy calculated using the modal curvature in this embodiment has high sensitivity. Therefore, the support state of the vibration isolators can be accurately detected using the local information entropy. Furthermore, there is no need to install sensors on the vibration isolators already in operation, nor is it necessary to collect a large number of data samples for training. The operation is flexible, simple, and efficient, and the support state of the vibration isolators can be detected using only one measurement.

[0039] Figure 5 A schematic diagram of the floating slab vibration isolator support status detection system provided in an embodiment of the present invention is shown. Figure 5 As shown, the system includes multiple vibration measuring devices and an integrated processor. The multiple vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating plate. The bottom of the floating plate is provided with multiple vibration isolators that support the floating plate. A vibration measuring device is located directly above each vibration isolator. There is at least one vibration measuring device between every pair of vibration isolators arranged along the longitudinal direction of the track. The vibration measurement device is used to measure and obtain measurement data; the integrated processor is used to acquire measurement data from multiple vibration measurement devices, take the location of the vibration measurement device as the measurement point, determine the modal information of each measurement point on the floating plate based on the measurement data; calculate the modal curvature of each measurement point on the floating plate based on the modal information; calculate the local information entropy of each measurement point on the floating plate based on the modal curvature of each measurement point on the floating plate; and detect the support status of the vibration isolator corresponding to the measurement point based on the local information entropy.

[0040] In one alternative approach, the vibration measuring device is an acceleration sensor or a laser vibration meter, and the vibration isolator is a steel spring vibration isolator or a rubber vibration isolator.

[0041] The embodiments of the floating slab vibration isolator support status detection system provided by the present invention are basically the same as the embodiments of the above-described floating slab vibration isolator support status detection method, and can be referred to the embodiments of the above-described floating slab vibration isolator support status detection method.

[0042] In this embodiment, multiple vibration measuring devices are evenly spaced along the longitudinal direction of the track on the top surface of the floating slab. Multiple vibration isolators are located at the bottom of the floating slab, with a vibration measuring device positioned directly above each isolator. At least one vibration measuring device is positioned between every pair of isolators. By acquiring measurement data from multiple vibration measuring devices, and using the location of each device as a measuring point, the modal information of each measuring point on the floating slab is determined based on the measurement data. The modal curvature of each measuring point on the floating slab is calculated based on the modal information. The local information entropy of each measuring point is then calculated sequentially using the modal curvature. The local information entropy calculated using the modal curvature in this embodiment has high sensitivity. Therefore, the support state of the vibration isolators can be accurately detected using the local information entropy. Furthermore, there is no need to install sensors on the vibration isolators already in operation, nor is it necessary to collect a large number of data samples for training. The operation is flexible, simple, and efficient, and the support state of the vibration isolators can be detected using only one measurement.

[0043] Figure 6 The diagram shows a structural schematic of an embodiment of the computer device of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computer device.

[0044] like Figure 6 As shown, the computer device may include: a processor 502, a communications interface 504, a memory 506, and a communications bus 508.

[0045] The processor 502, communication interface 504, and memory 506 communicate with each other via communication bus 508. Communication interface 504 is used to communicate with other computer devices, such as clients or other server network elements. The processor 502 executes program 510, specifically performing the relevant steps described above in the computer device embodiment.

[0046] Specifically, program 510 may include program code, which includes computer-executable instructions.

[0047] Processor 502 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computer device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0048] Memory 506 is used to store program 510. Memory 506 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0049] Specifically, program 510 can be called by processor 502 to cause the computer device to perform the following operations: Acquire measurement data from multiple vibration measuring devices, wherein multiple vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating plate, and multiple vibration isolators supporting the floating plate are provided at the bottom of the floating plate. Each vibration isolator is provided with a vibration measuring device directly above it, and at least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. Using the location of the vibration measuring device as the measuring point, the modal information of each measuring point on the floating plate is determined based on the measurement data; The modal curvature of each measuring point on the floating plate is calculated based on the modal information; The local information entropy of each measuring point is calculated sequentially based on the modal curvature of each measuring point on the floating plate. The support status of the vibration isolator corresponding to the measuring point is detected based on the local information entropy.

[0050] In one alternative approach, calculating the modal curvature of each measuring point of the floating plate based on the modal information includes: Obtain the distance between any two adjacent measuring points, and based on the distance and the modal information, calculate the modal curvature of each measuring point of the floating plate using the central difference method: , in, For the modal curvature, For measuring points of First-order modal information, The distance between any two adjacent measuring points is denoted as .

[0051] In one optional approach, the step of sequentially calculating the local information entropy of the measuring points based on the modal curvature of each measuring point on the floating plate includes: Construct a sliding window of a preset length, and determine the target measurement point and at least two measurement points adjacent to the target measurement point based on the sliding window; During the sliding window process, the local information entropy of each target measuring point is calculated sequentially based on the modal curvature of all measuring points in the sliding window.

[0052] In one alternative approach, the step of sequentially calculating the local information entropy of the measuring points based on the modal curvature of each measuring point on the floating plate further includes: The local information entropy of the target measurement point in the sliding window is calculated using a predetermined formula, which is: , Where P is the local information entropy, and n is the number of measurement points adjacent to the target measurement point in the sliding window.

[0053] In one alternative approach, detecting the support state of the vibration isolator corresponding to the measuring point based on the local information entropy includes: The local information entropy is normalized to obtain the normalized local information entropy. If the normalized local information entropy is greater than a preset threshold, it is determined that the support state of the vibration isolator corresponding to the measuring point is poor. If the normalized local information entropy is less than or equal to the preset threshold, it is determined that the support status of the vibration isolator corresponding to the measuring point is good.

[0054] In one alternative approach, the method further includes: determining the identifier of the vibration measuring device corresponding to the measuring point, and associating and visualizing the measuring point, the identifier of the vibration measuring device, and the support status of the vibration isolator.

[0055] This invention provides a computer-readable storage medium storing at least one executable instruction that, when executed on a computer device, causes the computer device to perform any of the above-described method embodiments.

[0056] This invention provides a computer program that can be invoked by a processor to cause a computer device to execute any of the above-described method embodiments.

[0057] This invention provides a computer program product, which includes a computer program stored on a computer-readable storage medium. The computer program includes program instructions that, when executed on a computer, cause the computer to perform any of the above-described method embodiments.

[0058] The algorithms or displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, the embodiments of the present invention are not directed to any particular programming language. It should be understood that the content of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0059] Numerous specific details are set forth in the specification provided herein. However, it will be understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures, and techniques have not been shown in detail so as not to obscure the understanding of this specification.

[0060] Similarly, it should be understood that, in order to streamline the invention and aid in understanding one or more of the various aspects of the invention, features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof in the above description of exemplary embodiments of the invention. However, this disclosure should not be construed as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim.

[0061] Those skilled in the art will understand that modules in the computer device of the embodiments can be adaptively modified and placed in one or more computer devices different from that embodiment. Modules, units, or components in the embodiments can be combined into a single module, unit, or component, and can be divided into multiple sub-modules, sub-units, or sub-components. Except where at least some of such features and / or processes or units are mutually exclusive, any combination can be used to combine all features disclosed in this specification (including the accompanying claims, abstract, and drawings) and all processes or units of any method or computer device so disclosed. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstract, and drawings) may be replaced by an alternative feature that serves the same, equivalent, or similar purpose.

[0062] It should be noted that the above embodiments are illustrative of the invention and not restrictive, and that those skilled in the art can devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses should not be construed as limiting the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention can be implemented by means of hardware comprising several different elements and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by the same item of hardware. The use of the words first, second, and third, etc., does not indicate any order. These words can be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be construed as limiting the order of execution.

Claims

1. A method for detecting the support status of a floating slab vibration isolator, characterized in that, The method includes: Acquire measurement data from multiple vibration measuring devices, wherein multiple vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating plate, and multiple vibration isolators supporting the floating plate are provided at the bottom of the floating plate. Each vibration isolator is provided with a vibration measuring device directly above it, and at least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. Using the location of the vibration measuring device as the measuring point, the modal information of each measuring point on the floating plate is determined based on the measurement data; The modal curvature of each measuring point on the floating plate is calculated based on the modal information; The local information entropy of each measuring point is calculated sequentially based on the modal curvature of each measuring point on the floating plate. The support status of the vibration isolator corresponding to the measuring point is detected based on the local information entropy.

2. The method according to claim 1, characterized in that, The calculation of the modal curvature of each measuring point of the floating plate based on the modal information includes: Obtain the distance between any two adjacent measuring points, and based on the distance and the modal information, calculate the modal curvature of each measuring point of the floating plate using the central difference method: ， in, For the modal curvature, For measuring points of First-order modal information, The distance between any two adjacent measuring points is denoted as .

3. The method according to claim 2, characterized in that, The step of calculating the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate includes: Construct a sliding window of a preset length, and determine the target measurement point and at least two measurement points adjacent to the target measurement point based on the sliding window; During the sliding window process, the local information entropy of each target measuring point is calculated sequentially based on the modal curvature of all measuring points in the sliding window.

4. The method according to claim 3, characterized in that, The step of calculating the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate further includes: The local information entropy of the target measurement point in the sliding window is calculated using a predetermined formula, which is: ， Where P is the local information entropy, and n is the number of measurement points adjacent to the target measurement point in the sliding window.

5. The method according to claim 1, characterized in that, The step of detecting the support state of the vibration isolator corresponding to the measuring point based on the local information entropy includes: The local information entropy is normalized to obtain the normalized local information entropy. If the normalized local information entropy is greater than a preset threshold, it is determined that the support state of the vibration isolator corresponding to the measuring point is poor. If the normalized local information entropy is less than or equal to the preset threshold, it is determined that the support status of the vibration isolator corresponding to the measuring point is good.

6. The method according to any one of claims 1-5, characterized in that, The method further includes: The identifier of the vibration measuring device corresponding to the measuring point is determined, and the measuring point, the identifier of the vibration measuring device, and the support status of the vibration isolator are associated and visualized.

7. A floating slab vibration isolator support status detection system, characterized in that, The system includes multiple vibration measuring devices and an integrated processor. The multiple vibration measuring devices are equally spaced along the longitudinal direction of the track on the top surface of the floating plate. The bottom of the floating plate is provided with multiple vibration isolators supporting the floating plate. Each vibration isolator is provided with a vibration measuring device directly above it. At least one vibration measuring device is provided between every pair of vibration isolators arranged along the longitudinal direction of the track. The vibration measuring device is used to measure and obtain measurement data; The integrated processor is used to acquire measurement data from multiple vibration measuring devices, taking the location of the vibration measuring device as the measuring point, and determining the modal information of each measuring point on the floating plate based on the measurement data; calculating the modal curvature of each measuring point on the floating plate based on the modal information; sequentially calculating the local information entropy of each measuring point based on the modal curvature of each measuring point on the floating plate; and detecting the support state of the vibration isolator corresponding to the measuring point based on the local information entropy.

8. The system according to claim 7, characterized in that, The vibration measuring device is an acceleration sensor or a laser vibration meter, and the vibration isolator is a steel spring vibration isolator or a rubber vibration isolator.

9. A computer device, characterized in that, include: The processor, memory, communication interface, and communication bus are provided, wherein the processor, memory, and communication interface communicate with each other via the communication bus. The memory is used to store at least one executable instruction that causes the processor to perform the method as described in any one of claims 1-6.

10. A computer-readable storage medium, characterized in that, The storage medium stores at least one executable instruction, which, when executed on a computer device, causes the computer device to perform the method as described in any one of claims 1-6.

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